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Strategic categorization of dairy cow farms in Croatia using cluster analysis
ID
Petrač, Maja
(
Author
),
ID
Zmaić, Krunoslav
(
Author
),
ID
Žgajnar, Jaka
(
Author
)
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https://hrcak.srce.hr/clanak/463671
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Abstract
Background: The milk processing sector in the Republic of Croatia faces numerous challenges. It is a distinctly bipolar structure, with some entities resembling the largest milk producers in the EU, while many small and medium-sized dairy farms struggle to remain competitive and achieve further progress. To formulate effective policy, it is important to differentiate between these types and address their key challenges. Objectives: The aim is to find the most representative solution that will help us define typical dairy farms and upgrade a SiTFarm tool (Slovenian Typical Farm Model), enabling us to assess the situation in Croatia comprehensively. Methods/Approach: Cluster analysis was conducted using empirical data obtained from the Croatian Agency for Agriculture and Food. The analysis involved applying both hierarchical and non-hierarchical clustering techniques. Results: Two cluster analysis scenarios are presented, differing in the variables used. In each scenario, 16 relatively homogeneous clusters of farms were obtained. Diversity was minimized within these clusters, and they effectively explain the dairy business in Croatia. Conclusions: The results of this analysis thus represent an important starting point for further analysis of the dairy sector in Croatia. These findings could help policymakers identify the types of farms that would benefit most from targeted investments to enhance efficiency, economic viability, and environmental sustainability.
Language:
English
Keywords:
cluster analysis
,
typical farms
,
dairy sector
,
mathematical programming
,
farm model
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
Str. 140-153
Numbering:
Vol. 15, iss. 1
PID:
20.500.12556/RUL-162727
UDC:
636.2
ISSN on article:
1847-9375
DOI:
10.2478/bsrj-2024-0020
COBISS.SI-ID:
208435203
Publication date in RUL:
02.10.2024
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73
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11
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Record is a part of a journal
Title:
Business systems research
Shortened title:
Bus. syst. res.
Publisher:
Bussiness information technology
ISSN:
1847-9375
COBISS.SI-ID:
523017241
Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Secondary language
Language:
Slovenian
Keywords:
govedoreja
,
prireja mleka
,
matematično modeliranje
,
klasterska analiza
,
Hrvaška
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