Key factors of foreign trade competitiveness: Comparison of the EU and BRICS by factor and cluster analysis

2016 ◽  
Vol 38 (3) ◽  
pp. 295-317
Author(s):  
Bohdan Vahalík ◽  
Michaela Staníčková
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Foreign Trade ◽  
Driving Forces ◽  
The European Union ◽  
Key Factors ◽  
Brics Countries ◽  
Factor And Cluster Analysis ◽  
Trade Competitiveness ◽  
And Cluster Analysis

International competitiveness is influenced by globalization processes in the world economy. This process changes the comparative advantages of each country and thus the shares of individual countries in world trade. BRICS countries have quickly strengthened their influence in international trade, and thus the European Union must face new pressure in competitiveness from their side. The aim of this paper is to define key factors of foreign trade competitiveness by an application of factor analysis and identify countries with similar characteristics of competitiveness factors by an application of cluster analysis. Factor and cluster analysis contain indicators of foreign trade which describe the driving forces of competitiveness, also in terms of long-term potentiality, and those which are direct or indirect outcomes of a competitive society and economy. Based on the results of the factor analysis, it is possible to classify the evaluated territories according to the level of foreign trade advancement by cluster analysis.

Analyzing the foreign trade competitiveness of the Chuvash Republic

2020 ◽  
Vol 16 (3) ◽  
pp. 478-495
Author(s):  
V.V. Smirnov ◽  
A.M. Mulendeeva
Keyword(s):  
Cluster Analysis ◽  
Foreign Trade ◽  
Systems Approach ◽  
Trade Flow ◽  
Seasonal Fluctuations ◽  
Russian Economy ◽  
Its Regions ◽  
Chuvash Republic ◽  
Trade Competitiveness ◽  
And Cluster Analysis

Subject. The article addresses the foreign trade competitiveness of the region. Objectives. The aims of the study are to investigate the efficiency of international trade of the Chuvash Republic; to conduct aggregated and segmented assessment of foreign trade competitiveness of the Chuvash Republic, and to provide recommendations for improving the trading performance. Methods. The study rests on the systems approach, using the statistical and cluster analysis. Results. We considered the current condition of the Russian economy, highlighted the main problems of its development, and substantiated the possibility of resolving them through increasing the efficiency of foreign trade at the level of the country and its regions. We performed an aggregated and segmented assessment of foreign trade competitiveness of the economy of the Chuvash Republic. It enabled to reveal strengths of importer countries in the general commodity turnover and seasonal fluctuations of exports. Our recommendations for improving foreign trade competitiveness rest on the cluster analysis of significant imports and exports. This analysis unveiled countries that contribute to turnover growth in the Chuvash Republic, as well as the main groups of commodities contributing to the balance of sales volume. Conclusions. To improve the competitiveness of foreign trade of the Chuvash Republic, it is crucial to increase the efficiency of trade flow, i.e. imports from Belarus and the Netherlands, and exports to Armenia and Lithuania.

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.

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