Total variance explained -case of output factors. 

Total variance explained -case of output factors. 

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Although the EU is one of the most developed parts of the world with high living standards, there exist huge disparities having a negative impact on the balanced development across the EU and weaken thus its competitiveness in the global context The aim of the paper is to define factors of socioeconomic development of the EU by application of facto...

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... factors represent direct or indirect outcomes of a competitive society and economy. In this paper, three dominating factors for outputs explained 74,846 % of total variability in reference period (see Table 1), what can be considered as very satisfactory result. For calculation of output factors by FA is used: Principal Component Analysis as extraction method; Varimax with Kaiser Normalization as rotation method; Rotation was converged in 5 iterations. ...
Context 2
... calculation of output factors by FA is used: Principal Component Analysis as extraction method; Varimax with Kaiser Normalization as rotation method; Rotation was converged in 5 iterations. Table 1 shows 24 number indicators and their belonging to relevant output factors of competitiveness. (2) ,821 ,305 (HTI) High-tech patent applications to the EPO (1) ,803 (ICT) ICT patent applications to the EPO (1) ,802 (HRSTcore) Human resources in Science and Technology -core sectors (1) ,801 (GDP) Gross domestic product (2) ,778 (HRST) Human resources in Science and Technology (1) ,776 (PEoLMP) Public expenditure on Labour Market Policies (3) ,734 (LP) Labour productivity (3) ,726 (BioT) Biotechnology patent applications to the EPO (1) ,683 (FE) Female employment (3) ,578 ,382 (GVA) Gross Value Added (GVA) in sophisticated sectors (4) ,519 ...

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... The reason that economic conditions and institutional constraints in European regions differ substantially is the profound cause of competitive differences among the EU member states (Lehmann & Jungwirth, 2019). Stancikova (2015) found significant differences in the EU28 competitiveness in global terms. In most cases, the old EU countries did reasonably well in terms of drivers of the competitiveness and functioning of the societies. ...
... The measure representing the socio-economic background (SE index) was composed by analogy and based on 17 quantitative characteristics that illustrate numerous aspects of socio-economic development. Stanickova (2015) defined the main factors of socioeconomic development, listing six groups of characteristics that are crucial for EU economies. She focused on economic growth, infrastructure level, and everyday human life and education, although the interest of her research was national economies. ...
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Chapter
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