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Use of the cluster analysis for assessment of economic situation of an enterprise

Author

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  • Martin Maršík

    (Department of Accounting and Finances, Faculty of Economics, University of South Bohemia in České Budějovice, Studentská 13, 370 05 České Budějovice, Czech Republic)

  • Daniel Kopta

    (Department of Accounting and Finances, Faculty of Economics, University of South Bohemia in České Budějovice, Studentská 13, 370 05 České Budějovice, Czech Republic)

Abstract

The aim of the paper was to discuss the disadvantages of enterprises in dry areas compared to enterprises farming in similar production area outside a rain shadow. The analysis was based on the sample of 45 enterprises; twelve of which farming in the area of a rain shadow. In the first step, enterprises were sorted by the cluster analysis into groups farming in the same area, at a similar altitude, with the same structure in a similar manner, and under comparable financial conditions - (such as debt ratio, liquidity and activity ratio). The results of this step showed a different method of farming within enterprises in disadvantaged areas. Such enterprises have created two distinct, separate clusters differing from the average in the use of fixed assets, technical equipment of labour, labour productivity and income structure. In the second step, the way how the return on assets of such enterprises is different from the average profitability of the enterprise was assessed. Testing differences in mean values of profitability was performed using the Student t-test. Due to the high variability of the Return on assets (ROA), the difference between standard and disadvantaged enterprises has not been proved.

Suggested Citation

  • Martin Maršík & Daniel Kopta, 2013. "Use of the cluster analysis for assessment of economic situation of an enterprise," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(2), pages 405-410.
    • Handle: RePEc:mup:actaun:actaun_2013061020405
    DOI: 10.11118/actaun201361020405
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    Cited by:

    1. Vít Pászto & Jarmila Zimmermannová & Jolana Skaličková & Judit Sági, 2020. "Spatial Patterns in Fiscal Impacts of Environmental Taxation in the EU," Economies, MDPI, vol. 8(4), pages 1-18, November.

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