Choosing Working Languages in a Multilingual Organization: A Statistical Analysis with a Particular View on the European Union

2018 ◽  
pp. 337-360 ◽  
Author(s):  
Dietrich Voslamber
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
The European Union

scholarly journals The Effect of Remittances on Poverty in the Emerging Countries of the European Union

2019 ◽  
Vol 11 (12) ◽  
pp. 3265 ◽  
Author(s):  
Anca Mehedintu ◽  
Georgeta Soava ◽  
Mihaela Sterpu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Economic Crisis ◽  
Regression Models ◽  
Emerging Countries ◽  
Time Dependent ◽  
The European Union ◽  
Short Term ◽  
Growth Trend ◽  
Poverty Threshold

In this paper we study the evolution of remittances and risk of poverty threshold for nine emerging countries in the European Union and analyzed the evolution and trend of the share of remittances in the risk of poverty threshold. The analysis was performed on data taken from the Eurostat database for the period 2005–2017. The statistical analysis of the data showed that the evolution of both remittances and risk of poverty threshold was heavily influenced by the global economic crisis. Although after the crisis, the risk of poverty threshold has seen a growing trend in all emerging countries, the remittances have experienced sinuous variations, dramatic declines for some of the countries (drastically for Romania and Latvia) and significant increases for others (Hungary). The results of the analysis using time-dependent regression models lead to the conclusion that, although the share of remittances in risk of poverty threshold diminished abruptly after the 2009 economic crisis, in the short term it is expected to maintain a growth trend for most of the analyzed countries (Bulgaria, Czechia, Hungary, Lithuania, Poland, Romania, and Slovakia), followed downward tendency after 2018 for Bulgaria and Romania, and after 2020 for Hungary and Lithuania. For Latvia and Estonia, both quadratic and cubic models estimate a decreasing evolution.

STATISTICAL ANALYSIS OF LABOUR RESOURCES IN ROMANIA, BEFORE COVID-19 PANDEMIC CRISIS

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Ciprian Iftimoaei ◽  
Cristian-Ionuţ Baciu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Economic Transition ◽  
Linear Regression Analysis ◽  
Hierarchical Cluster ◽  
Developed Countries ◽  
The European Union ◽  
Simple Linear Regression

In the three decades since the collapse of communism in Romania (1989), human resources have gone through several distinct moments in the process of social and economic transition, from the state economy to the market economy: (1) the period 1990-2007 characterized by declining employment, rising unemployment, low wages, employee poverty, labour migration to developed countries; (2) the period 2007-2019 in which Romanian employees experienced the benefits of the European integration process, which meant economic macrostability, increased foreign investment, projects financed by European operational programs that led to increased living standards, increased employment, labour crisis; (3) the period beginning with the 2020 pandemic year and the economic and social crisis, the effects of which are already quantified by official statistics. This paper proposes a retrospective analysis of the evolution of labour resources in Romania, after joining the European Union. The methodology used combines descriptive statistical analysis (labour resources, activity rate, employment rate, unemployment rate, average net earnings), hierarchical cluster analysis to compare the employment situation in Romania in the year of accession to the European Union (2007) versus the year before the onset of the pandemic crisis (2019) and the simple linear regression analysis, having as an independent variable the „unemployment rate” and as a dependent variable „the number of employees”. Simple linear regression is used not only for teaching purposes, but in addition to testing the link between variables, we wanted to find out how much the number of employees decreases if the unemployment rate increases by one percentage point nationwide. The data used come from the TEMPO Online database of the National Institute of Statistics and were processed with the SPSS.

scholarly journals Electronic commerce and its regulation in the European Union and China

2021 ◽  
Vol 7 (Extra-B) ◽  
pp. 37-46
Author(s):  
Lin Peiyuan
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Group Analysis ◽  
Legal Regulation ◽  
Legal Analysis ◽  
The European Union ◽  
Legal Norms ◽  
Republic Of China ◽  
Scientific Group ◽  
Key Aspects

The article provides a statistical analysis of the trends in the development of e-commerce in the world in general and in China in particular, a comparative legal analysis of the system of legal regulation of key aspects affecting the functioning of e-commerce in the European Union and in the People’s Republic of China (further PRC). The research methodology is based on a systematic approach and includes the methods of the general scientific group (analysis, synthesis, induction, deduction), as well as special methods: statistical analysis, content analysis of scientific literature on the research topic, the method of comparative legal analysis. As a result of the study, the author came to the conclusion that the legislation of China and the European Union regarding the regulation of e-commerce is aimed at fundamentally different goals: in the EU, legislation is aimed at protecting private transactions and trade, and for China, the priority is the development of legal norms that allow the state as much as possible control electronic commercial flows and procuring a cybersecurity in e-commerce sector.

Statistical Analysis of Housing Situation in EU Member States

2020 ◽  
pp. 366-375
Author(s):  
Artur Zimny ◽  
Karina Zawieja-Żurowska
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Housing Market ◽  
The European Union ◽  
Housing Situation ◽  
Member States ◽  
Eu Member States

This chapter attempts to analyze the housing market. In particular, it attempts to modelling through a statistical analysis the housing market in member states of the European Union.

scholarly journals Mediation in the Context of Law Acquaintance1

2020 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Urbanová Martina ◽  
Holá Lenka ◽  
Lakomý Martin
Keyword(s):  
Higher Education ◽  
European Union ◽  
Statistical Analysis ◽  
Individual Characteristics ◽  
The European Union ◽  
The Czech Republic ◽  
The Public ◽  
Aged People ◽  
Effective Strategies ◽  
Current State

Abstract As mediation and its support across the European Union have been growing, we can assume that the public is better aware of this option of dispute resolution. The law acquaintance with the focus on mediation has not been studied extensively, although the identification of the current state is crucial for formulating the effective strategies for its broader use. The aim of this paper based on the quantitative survey on a representative sample in the Czech Republic is to examine the mediation awareness and its differences across individual characteristics. The statistical analysis identifies very low awareness of mediation and its aspects. Moreover, this knowledge is higher among people with higher education, among middle-aged people and older people living in bigger municipalities. Based on the findings, the authors suggest that targeted campaigns organised by the state should be conducted through the channels accessible to the sociodemographic groups with lower awareness of mediation.

Statistical Analysis of Housing Situation in EU Member States

2017 ◽  
pp. 230-239
Author(s):  
Artur Zimny ◽  
Karina Zawieja-Żurowska
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Housing Market ◽  
The European Union ◽  
Housing Situation ◽  
Member States ◽  
Eu Member States

This chapter attempts to analyze the housing market. In particular, it attempts to modelling through a statistical analysis the housing market in member states of the European Union.

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