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Use Of Cluster Analysis In Study Of European Cereals Market

Author

Listed:
  • PALIU-POPA LUCIA

    (CONSTANTIN BRANCUSI UNIVERSITY OF TARGU JIU)

  • CHIRTOC IRINA-ELENA

    (CONSTANTIN BRANCUSI UNIVERSITY OF TARGU JIU)

  • BUSAN GABRIELA

    (CONSTANTIN BRANCUSI UNIVERSITY OF TARGU JIU)

Abstract

Starting from the fact the cereals are the main raw material for the food industry, the present work aims to analyse and identify, with the help of cluster analysis, the best performing countries, members of the European Union (EU), which have common characteristics having in view the degree of economic development, measured by means of the indicator of Gross Domestic Product (GDP), the production of grain and the yield per hectare. At the same time, using the method based on hierarchy of ranks, depending on the size of each level features and the relative distance method in relation to maximum performance, will determine developments position which occupies each country within the clusters represented in the EU-28. The data is used for analysis related to late 2000, 2008, 2014 and 2015.

Suggested Citation

  • Paliu-Popa Lucia & Chirtoc Irina-Elena & Busan Gabriela, 2018. "Use Of Cluster Analysis In Study Of European Cereals Market," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 14-27, October.
    • Handle: RePEc:cbu:jrnlec:y:2018:v:5:p:14-27
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    References listed on IDEAS

    as
    1. Babucea Ana-Gabriela & Danacica Emanuela-Daniela, 2009. "Using Cluster Analysis for Studying the Proximity of Registered Unemployment at the Level of Counties in Romania at the Beginning of the Economic Crisis," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 347-356, May.
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