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Drivers of farm performance in Czech crop farms

Author

Listed:
  • Vladimír Kostlivý
  • Zuzana Fuksová

    (Institute of Agricultural Economics and Information, Prague, Czech Republic)

  • Tamara Rudinskaya

    (Institute of Agricultural Economics and Information, Prague, Czech Republic)

Abstract

When analysing drivers affecting the farm performance, the presence of different technologies should be taken into account. We assume that the technology used by crop farms is not the same for all producers and therefore we use latent class model to identify technological classes at first. Class definition is based on multidimensional classification and determination of indices given by the values of individual components. The principal components analysis is applied to estimate significant and robust weights for the index components. FADN (Farm Accountancy Data Network) database, Czech crop farms data from 2005 to 2017 were used and three groups of technology classes of farms were identified with a determinant influence of the structure index and localisation. The other indices characterise sustainability, innovation, technology, diversification, and individual characteristics. Three distinct classes of crop farms were found, one major class and two minor classes. Family driven farms are usually smaller farms in terms of acreage. Highly sustainable crop farms are most likely located in lower altitudes and not in less-favoured areas. Innovative farms are also likely to be more productive. The results indicate that agricultural production farms with a more sustainable way of farming are most likely to be more productive.

Suggested Citation

  • Vladimír Kostlivý & Zuzana Fuksová & Tamara Rudinskaya, 2020. "Drivers of farm performance in Czech crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(7), pages 297-306.
    • Handle: RePEc:caa:jnlage:v:66:y:2020:i:7:id:231-2019-agricecon
    DOI: 10.17221/231/2019-AGRICECON
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    References listed on IDEAS

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