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PL EN


2006 | 4(133) | 103-125

Article title

THE LEVEL OF AGRICULTURAL PLANT PRODUCTION IN EU COUNTRIES

Authors

Title variants

Languages of publication

PL

Abstracts

EN
To obtain a synthetic measure of the level of the agricultural production development application of methods taking into consideration both the peculiarity and problem multidimensionality is required. The statistical comparative multidimensional analyses meet this expectation. Comparisons implicate the diagnosis of objects' state and also the relations between them. The use of quantitative methods guarantees the analysis objectivism and this allows to avoid subjective explorer's opinions. These methods make possible the accomplishment of the evaluation and the comparison of objects characterized with considerable number of features. The comparative study within the agricultural sector enables: the estimation of the production effects, the indication of desirable directions of the input enlarging to improve the effects, being the basis of rationalization in this area. Additionally, comparative analyses can become the basis of the homogenous groups separation with regard on essential features. The study exemplifies an attempt at the synthetic formulation of the comparative analysis of the agricultural plant production level and their efficiency represented by crops indicators. The investigation was conducted among EU members states as well as two Candidate Countries - Bulgaria and Romania. The study focuses on the methodology of the statistical comparative analysis within the agri-sector when a considerable number of features with different unit of measure characterize the objects.

Year

Issue

Pages

103-125

Physical description

Document type

COMMUNICATION

Contributors

author
  • J. Strojny, Akademia Rolnicza w Krakowie, Katedra Statystyki Matematycznej, al. Mickiewicza 21, 31-120 Kraków, Poland

References

Document Type

Publication order reference

Identifiers

CEJSH db identifier
07PLAAAA02264738

YADDA identifier

bwmeta1.element.b40408d6-89cf-360f-9ed8-01abf3178b6b
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