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Original scientific paper

https://doi.org/10.5513/JCEA01/23.4.3513

Evaluation of technical efficiency of Hungarian and Croatian livestock sectors using DEA on FADN data

Krisztián KOVÁCS ; University of Debrecen, Faculty of Economics and Business, Böszörményi str. 138, 4032 Debrecen, Hungary
Josip JURAČAK orcid id orcid.org/0000-0002-7745-2019 ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Vesna OČIĆ ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Anastasiia BURDIUZHA ; University of Debrecen, Faculty of Economics and Business, Böszörményi str. 138, 4032 Debrecen, Hungary
István SZŰCS ; University of Debrecen, Faculty of Economics and Business, Böszörményi str. 138, 4032 Debrecen, Hungary


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Abstract

The different sectors of the livestock industry play an important role in meeting the increasing demand for animal
products in both Hungary and Croatia. The general objective of this study was to investigate and compare the efficiency
of the livestock sectors in Croatia and Hungary using the Data Envelopment Analysis method. In this paper, the technical
efficiency of the dairy, beef, broiler, sheep and goat, and pig sectors from 2014 to 2017 is investigated based on the
Farm Accountancy Data Network database. This paper compared farms of different size classes based on the Standard
Production Value for more detailed insights. Among the five main livestock sectors, Hungary performs better in terms of
farm technical efficiency in the dairy and beef sectors, while Croatia has higher efficiency scores in the sheep sector. The
performances in the pig and broiler sectors are almost the same in both countries. Moreover, in the Hungarian poultry,
pig, sheep and goat sectors and the Croatian dairy, beef and pig sectors, the technical efficiency of small-sized farms is
better than that of medium-sized farms.

Keywords

DEA; farm efficiency; livestock breeding; variable returns to scale

Hrčak ID:

288327

URI

https://hrcak.srce.hr/288327

Publication date:

21.12.2022.

Article data in other languages: croatian

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