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Classification of Specialized Farms Applying Multivariate Statistical Methods

Author

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  • Zuzana Hloušková

    (Department of Statistics, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, Prague 6, 165 21, Czech Republic)

  • Marie Prášilová

    (Department of Statistics, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, Prague 6, 165 21, Czech Republic)

Abstract

The paper is aimed at application of advanced multivariate statistical methods when classifying cattle breeding farming enterprises by their economic size. Advantage of the model is its ability to use a few selected indicators compared to the complex methodology of current classification model that requires knowledge of detailed structure of the herd turnover and structure of cultivated crops. Output of the paper is intended to be applied within farm structure research focused on future development of Czech agriculture. As data source, the farming enterprises database for 2014 has been used, from the FADN CZ system. The predictive model proposed exploits knowledge of actual size classes of the farms tested. Outcomes of the linear discriminatory analysis multifactor classification method have supported the chance of filing farming enterprises in the group of Small farms (98 % filed correctly), and the Large and Very Large enterprises (100 % filed correctly). The Medium Size farms have been correctly filed at 58.11 % only. Partial shortages of the process presented have been found when discriminating Medium and Small farms.

Suggested Citation

  • Zuzana Hloušková & Marie Prášilová, 2017. "Classification of Specialized Farms Applying Multivariate Statistical Methods," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(3), pages 1007-1014.
  • Handle: RePEc:mup:actaun:actaun_2017065031007
    DOI: 10.11118/actaun201765031007
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    References listed on IDEAS

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    1. Barrett, Christopher B., 1996. "On price risk and the inverse farm size-productivity relationship," Journal of Development Economics, Elsevier, vol. 51(2), pages 193-215, December.
    2. Andersen, Erling & Verhoog, A. David & Elbersen, Berien S. & Godeschalk, Frans E. & Koole, Boudewijn, 2006. "A multidimensional farming system typology," Reports 9291, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    3. Marie Prášilová & Rudolf Zeipelt, 2011. "Sample representativeness verification of the FADN CZ farm business sample," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(4), pages 251-256.
    4. Marie Prášilová & Lucie Severová & Jan Chromý, 2011. "Subsidies of agricultural production in the Czech Republic and their economic context," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(7), pages 293-300.
    5. Mugera, Amin W. & Langemeier, Michael R., 2011. "Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 515-528, November.
    6. Feder, Gershon, 1985. "The relation between farm size and farm productivity : The role of family labor, supervision and credit constraints," Journal of Development Economics, Elsevier, vol. 18(2-3), pages 297-313, August.
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