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Cluster Analysis in Assessment of Organic Farms Sustainability. Part II Results of Research

Authors

  • Maciej Sporysz

    {"en_US":"university of life sciences in lublin."}

  • Maria Szczuka

    {"en_US":"university of life sciences in lublin."}

  • Sylwester Tabor

    {"en_US":"university of life sciences in lublin."}

  • Krzysztof Molenda

    {"en_US":"university of life sciences in lublin."}

  • Maciej Kuboń

    {"en_US":"university of life sciences in lublin."}

Keywords:

cluster analysis, sustainable farm, organic farm

Abstract

A modern model of agriculture is based on three orders - organic, social and economic. An attempt was made in this paper to apply cluster analysis for assessment of economic and organic sustainability of organic farms. Factors that statistically influenced a decision on which farms should be recognised as sustainable were indicated. Analyses allow the following conclusion: 1) in organic farming, animal production including cattle breeding and rearing must be based on a high acreage of permanent grasslands; 2) neither the performed production processes nor the level of their automation rate or the level of organic balance do not decide on the production effectiveness, but factors of the surrounding including social factors.

References

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Sporysz M., Szczuka M., Tabor S., Molenda K., Kuboń M. (2019). The use of cluster analysis in assessing the sustainability of organic farms. Part 1. Methodical considerations. Agricultural Engineering, 23(4), 69-76.

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Published

2020-03-30

Issue

Vol. 24 No. 1 (2020)

Section

Articles

How to Cite

Cluster Analysis in Assessment of Organic Farms Sustainability. Part II Results of Research. (2020). Agricultural Engineering , 24(1), 79-89. https://ojs.agriceng.org/index.php/AgricEng/article/view/219

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