Drivers of farm performance in Czech crop farms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027251%3A_____%2F20%3AN0000006" target="_blank" >RIV/00027251:_____/20:N0000006 - isvavai.cz</a>
Result on the web
<a href="https://www.agriculturejournals.cz/web/agricecon.htm?type=article&id=231_2019-AGRICECON" target="_blank" >https://www.agriculturejournals.cz/web/agricecon.htm?type=article&id=231_2019-AGRICECON</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/231/2019-AGRICECON" target="_blank" >10.17221/231/2019-AGRICECON</a>
Alternative languages
Result language
angličtina
Original language name
Drivers of farm performance in Czech crop farms
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40101 - Agriculture
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Agricultural Economics
ISSN
0139-570X
e-ISSN
1805-9295
Volume of the periodical
66
Issue of the periodical within the volume
7
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
297-306
UT code for WoS article
000551034000001
EID of the result in the Scopus database
—