scholarly journals Internationalisation Processes Developing Sector of High Technology in the European Union: Cluster Analysis

2020 ◽  
Vol 6 (2) ◽  
pp. 39-50
Author(s):  
Nikolaj Ambrusevic
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
High Technology ◽  
The European Union

scholarly journals Determinants of milk production in FADN dairy farms in the regions of the European Union with predominance of intensive production in 2011

Management ◽  
2016 ◽  
Vol 20 (2) ◽  
pp. 473-486
Author(s):  
Marta Guth
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Milk Production ◽  
Dairy Farms ◽  
The European Union ◽  
Intensive Production ◽  
Ward Method

Summary The main aim of the considerations was to determine the factors determining the variability of milk production in selected macroregions of the European Union. The regions were selected on the basis of the analysis of the diversity of dairy farms FADN in the regions of the European Union, which was determined by the agglomeration cluster analysis using Ward method. In order to highlight the determinants of production there was factor analysis made. On the basis of the results of factor analysis there were factors that have a decisive impact on milk production in dairy farms from areas with a predominance of intensive production identified, and there was a possibility to find out which macro-regions of the European Union reached a relatively best and worst performance in terms of the distinguished factors.

Evaluation of Information Infrastructures and Social Development Among the Visegrad-Four Countries of Central Europe

2008 ◽  
pp. 2263-2273
Author(s):  
László A. Pook ◽  
Norman E. Pence
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Infrastructure Development ◽  
The European Union ◽  
East European ◽  
Significant Relationships ◽  
Information Infrastructures ◽  
Select Group ◽  
Accession Countries ◽  
Country Analysis

The paper examines the developmental status of four of the next candidate countries’ information infrastructures for accession into the European Union (EU). It develops significant relationships between nations’ levels of information infrastructure development and their economic and social developments, and applies these relationships to evaluate investment needs for a select group of accession countries called the Visegrad Four. Using cross-country analysis the candidate countries were compared to other countries and were classified into like groups using cluster analysis while their relative developments were evaluated using regression modeling. Developmental requirements and capital needs to promote growth in their information and communications industries were then identified. It is hoped that the paper will offer a comparative glimpse of the information and communications infrastructures of some Central and East European countries as compared to other nations.

scholarly journals Categorization of corporate taxation in the European Union countries using cluster analysis: a comparative study

2016 ◽  
Vol 160 (7-8) ◽  
pp. 4-8 ◽  
Author(s):  
Lucia Mihokova ◽  
◽  
Alena Andrejovska ◽  
Slavomira Martinkova ◽  
◽  
...  
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Comparative Study ◽  
Corporate Taxation ◽  
The European Union ◽  
European Union Countries

scholarly journals Spatial Diversity of Tourism in the Countries of the European Union

2020 ◽  
Vol 12 (7) ◽  
pp. 2713 ◽  
Author(s):  
Michał Roman ◽  
Monika Roman ◽  
Arkadiusz Niedziółka
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Spatial Diversity ◽  
The European Union ◽  
Analysis Method ◽  
Eu Member States ◽  
Cluster Analysis Method ◽  
World Tourism Organization ◽  
Tourism Organization

The aim of the article is to present the spatial diversity of tourism in the countries of the European Union (EU). The main objective of the article can be divided into three immediate goals, each of which is to determine countries that are similar by means of: (1) accommodation base; (2) tourism traffic; and (3) tourism-related expenditures and revenues. In order to group countries, Ward’s cluster analysis method is used. The aim is verified with the use of 2017 United Nations World Tourism Organization (UNWTO) and Eurostat data. The analysis covers all EU member states. The research conducted confirms, inter alia, the key role of the accommodation base in the development of tourism in those countries.

scholarly journals Farewell to flexicurity? Austerity and labour policies in the European Union

2016 ◽  
Vol 39 (3) ◽  
pp. 458-480 ◽  
Author(s):  
Thomas Hastings ◽  
Jason Heyes
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Economic Crisis ◽  
Social Inclusion ◽  
Employment Growth ◽  
The European Union ◽  
Eu Member States ◽  
The Past ◽  
Comparative Institutional Analysis ◽  
The Eu

For the past decade the European Commission has urged EU member states to pursue ‘flexicurity’ policies aimed at achieving employment growth and social inclusion. However, the economic crisis and turn to austerity across the EU has presented the flexicurity model with a substantial challenge. This article argues that since 2008 labour policies across the EU have exhibited shared tendencies, but support for measures that might contribute to the achievement of the security aspects of flexicurity has been substantially weakened. In developing this argument, the article presents findings from a cluster analysis and detailed investigations of labour policies in EU member countries. The article also discusses the implications of the findings for comparative institutional analysis. It highlights differences in the approaches of countries that are commonly treated as members of the same institutional family, as well as similarities in the policies adopted by countries commonly associated with different ‘varieties’ of capitalism.

scholarly journals Benchmarking study on the venture capital market in the Czech Republic, Hungary and the Netherlands

2016 ◽  
Vol 13 (3) ◽  
pp. 191-202 ◽  
Author(s):  
Ing. Jaroslava Rajchlová ◽  
Ing. Veronika Svatoaová
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Czech Republic ◽  
The Netherlands ◽  
Venture Capital ◽  
Capital Market ◽  
The European Union ◽  
The Czech Republic ◽  
Eu Countries ◽  
Capital Financing

The main aim of paper is seen at two levels: the first level to assess the situation on the venture capital market in the Czech Republic based on the results of a comparative study of selected countries of European Union is the area of venture capital financing. The second level is, then, to propose measures, whose implications could increase the effectiveness of venture capital to the business sector in the Czech Republic. The main purpose of the paper is to identify internally homogeneous groups of the EU states regarding the situation on the venture capital market in the European Union Member States. The aim of this article is supported by relevant statistical data for the period 2008-2013 to assess the legislative framework of venture capital market in the Czech Republic and other selected European countries. Based on the results of cluster analysis, EU countries were identified, Hungary and the Netherlands, in which legislative conditions with venture capital market were subsequently analyzed and the results were compared with the situation in the Czech Republic. The Netherlands as a representative of the countries with developed market risk capital, Hungary as a representative of CEE countries. The problem of undeveloped VC market in the Czech Republic is not in demand for venture capital, but in its supply. Pension funds and insurance companies cannot invest more than 5% in risky assets. In the Czech Republic, there are no tax incentives to attract investors and even government programs that could complement the missing investors and support the creation of venture capital funds. This low level of venture capital usage for the development of enterprises could also be seen in misunderstanding and ignorance of this form of financing, the inability of management to prepare a business plan and to attract a potential investor, fears of administrative burdens arising from an investor and finally questionable return on investment when, for example, public offering of shares, which achieves a high appreciation, is in the Czech Republic underused. Keywords: venture capital, benchmarking, cluster analysis, Ward’s method, CEE countries, EU countries, Czech Republic, Hungary, Netherlands. JEL Classification: G32, M21

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