Browsing by Author "Vochozka, Marek"
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- ItemInstitutional analysis of the contemporary regional labour market in the Czech Republic(Technická Univerzita v Liberci, ) Novák, Václav; Vokoun, Marek; Stellner, František; Vochozka, Marek; Ekonomická fakultaPublic institutions are key players in the regional labour markets in the Czech Republic. Their activities are constrained by economic policies, which are aimed at increasing employment and the efficiency of the labour markets. Our analysis uses a questionnaire to collect data from the institutions and evaluate their perception of the regional labour market. The results suggest that active employment policy instruments and passive policy instruments are perceived as inefficient and inappropriate. The unemployed usually have no previous job experience, completed only primary education and are not willing to travel to work. The pressing problem is the quality of education and the generous social benefits that makes employment policy inefficient for the least skilled unemployed. Despite substantial regional socio-economic differences in both analysed regions (the Ústecký Region and the Jihočeský Region), there are no significant differences in the poor evaluation of all the traditional active employment policy instruments. In the more problematic Ústecký Region the emphasis is put on basic issues such as the lack of education and experience of the unemployed. The local labour market issues are dictated by long-term factors such as the lack of job vacancies. In the Jihočeský Region the situation is better. The issue is more one of mobility. The market issues here are more related to the appropriateness of secondary and tertiary education and labour costs. To increase the efficiency of employment policies we recommend improvements to the institutional infrastructure in higher education, which should be oriented towards investment in the quality of human capital.
- ItemPrediction of institutional sector development and analysis of enterprises active in agriculture(Technická Univerzita v Liberci, ) Stehel, Vojtěch; Horák, Jakub; Vochozka, Marek; Ekonomická fakultaThe overall EU agricultural productivity growth has slowed down in recent years and has lagged behind leading global competitors, which is mainly due to decreasing number of employees in agriculture. Technical inefficiency is then an important phenomenon of the Czech agriculture and its individual sectors. Agriculture development should be established on scientific bases. One of the basic principles of sustainable agriculture is therefore forecasting its future development. In recent years, several agricultural economists have been engaged in comparing forecasts with various other methods and their conclusions generally correspond to commonly accepted beliefs. At present, artificial intelligence can be definitely recognized as a useful tool for business analyses and forecasting. The objective of the contribution is an analysis of companies active in agriculture of the Czech Republic using Kohonen network and the subsequent prediction of their development. A data set is created, which includes complete data from financial statements of 4,201 companies active in agriculture of the Czech Republic in 2016. The set of companies is generated from the Bisnode Albertina database. The data set is subsequently subjected to cluster analysis using Kohonen network. For cluster analysis, Dell´s Statistica software, version 12 is used. The set is divided into three parts: training data set, testing data set, validation data set. Topological length and width of Kohonen network are set at 10. The number of iterations is set at 10 000. Subsequently, the individual clusters are subjected to analysis of absolute and selected indicators (or more precisely, their mean values – arithmetic average) and the results are interpreted. It can be stated that the agriculture companies show very favorable values – optimal assets level, acceptable financing structure and adequate economic result. It can be even stated that the indicators show above-average values compared to other investment options.