Agric. Econ. - Czech, 2024, 70(9):457-464 | DOI: 10.17221/120/2024-AGRICECON

The impact of efficiency on the profitability of large farms in the Visegrad FourCase Study

Zuzana Fuksová ORCID...1, David Mareš ORCID...2, Milan Křápek ORCID...3
1 Liaison Agency FADN CZ, Institute of Agricultural Economics and Information, Prague, Czech Republic
2 Department of Trade and Finance, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic
3 Institute of Informatics, Faculty of Business and Management, Brno University of Technology Sciences, Brno, Czech Republic

The issue of productivity and performance in agriculture is significant because it affects a country’s competitiveness, sustainability, and self-sufficiency in agricultural production and is reflected in European policy. This study aims to determine which country had the most efficient large farms compared to other V4 countries and whether efficiency in each country translates into the performance of large farms. The data were obtained from the EU FADN (Farm Accountancy Data Network) database from 2005 to 2019. These data were then evaluated using the statistical methods DEA: CCR-O (Data Envelopment Analysis: constant returns to scale), DEA: BCC-O (Data Envelopment Analysis: variable returns to scale), and Pearson correlation coefficient. Regarding international comparisons in achieving efficiency as measured by DEA, Hungary is the best performer among the countries compared, followed by Czechia, Poland, and Slovakia. The correlation between efficiency and performance measured by Farm Net Value Added was demonstrated only for Hungary. The international comparison provided information about which country had the most efficient large farms, what the ranking of countries was in terms of efficiency, and for which countries efficiency had / did not have a potential impact on performance. At the same time, the relationships regarding the efficiency and performance of farms with an economic size above EUR 500 000 of standard output were clarified.

Keywords: agriculture; livestock; farm performance; Data Envelopment Analysis; Pearson

Received: March 30, 2024; Revised: August 6, 2024; Accepted: August 9, 2024; Prepublished online: September 17, 2024; Published: September 27, 2024  Show citation

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Fuksová Z, Mareš D, Křápek M. The impact of efficiency on the profitability of large farms in the Visegrad Four. Agric. Econ. - Czech. 2024;70(9):457-464. doi: 10.17221/120/2024-AGRICECON.
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    References

    1. Antón J., Sauer J. (2021): Dynamics of Farm Performance and Policy Effects: Main Findings. Paris, OECD Publishing: 14.
    2. Armstrong R.A. (2019): Should Pearson's correlation coefficient be avoided? Ophthalmic and Physiological Optics, 39: 316-327. Go to original source...
    3. Bartova L., Fandel P. (2020): Membership in agricultural producer organizations and farm technical efficiency in Slovakia. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15: 489-509. Go to original source...
    4. Batzios A., Theodoridis A., Bournaris T., Semos A. (2023): Technical indicators and economic performance of dairy goat farms in Greece: An efficiency analysis. Livestock Science, 271: 105210. Go to original source...
    5. Błażejczyk-Majka L., Kala R., Maciejewski K. (2012): Productivity and efficiency of large and small filed crop farms and mixed farms of the old and new EU regions. Agricultural Economics - Czech, 58: 61-71. Go to original source...
    6. Brožová I., Vaněk J. (2013): Assessment of economic efficiency of conventional and organic agricultural enterprises in a chosen region. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2: 297-307. Go to original source...
    7. Čechura L., Žáková Kroupová Z., Lekešová M. (2022): Productivity and efficiency in Czech agriculture: Does farm size matter? Agricultural Economics - Czech, 68: 1-10. Go to original source...
    8. Chavas J.P., Läpple D., Barham B., Dillon E. (2022): An economic analysis of production efficiency: Evidence from Irish farms. Canadian Journal of Agricultural Economics, 70: 153-173. Go to original source...
    9. Czubak W., Pawłowski K.P. (2020): Sustainable economic development of farms in Central and Eastern European countries driven by pro-investment mechanisms of the Common Agricultural Policy. Agriculture, 10: 93. Go to original source...
    10. Díaz J.P. (2016): The bad business of agriculture: A correlation analysis on employment share and agriculture added value share in Ecuador. Revista Politécnica, 37: 108-111.
    11. Dong Q. (2023): Comparing technical and allocative efficiency between family farms and agricultural corporations: Evidence from Japan's rice sector. Studies in Agricultural Economics, 125: 45-59.
    12. Eurostat (2021): Agriculture Database. Available at https://ec.europa.eu/eurostat/en/web/main/data/database (accessed Mar 19, 2021).
    13. FADN (2021): Predefined Reports by Theme. Available at https://agridata.ec.europa.eu/extensions/FADNPublicDatabase/FADNPublicDatabase.html (accessed Mar 19, 2021).
    14. Farrell M.J. (1957): The measurement of productive efficiency. Journal of the Royal Statistical Society, 120: 253-290. Go to original source...
    15. Forleo M.B., Giaccio V., Mastronardi L., Romagnoli L. (2021): Analysing the efficiency of diversified farms: Evidences from Italian FADN data. Journal of Rural Studies, 82: 262-270. Go to original source...
    16. Galluzzo N. (2017): Efficiency analysis in different typologies of farming in Italian FADN dataset. Economics of Agriculture, 64: 451-465. Go to original source...
    17. Hedija V., Kuncová M. (2021): Relationship between efficiency and profitability: The case of Czech swine sector. Spanish Journal of Agricultural Research, 19: e0102. Go to original source...
    18. Işik S., Özbugday F.C. (2021): The impact of agricultural input costs on food prices in Turkey: A case study. Agricultural Economics - Czech, 67: 101-110. Go to original source...
    19. Kočišová K. (2015): Application of the DEA on the measurement of efficiency on the EU countries. Agricultural Economics - Czech, 61: 51-62. Go to original source...
    20. Kravcakova Vozarova I., Kotulic R. (2016): Quantification of the effect of subsidies on the production performance of the Slovak agriculture. Procedia Economics and Finance, 39: 298-304. Go to original source...
    21. Kryszak Ł. (2018): Agricultural models in EU FADN regions and changes in farm productivity and incomes. Journal of Agribusiness and Rural Development, 50: 403-413. Go to original source...
    22. Latruffe L., Fogarasi J., Desjeux Y. (2012): Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France. Economic Systems, 36: 264-278. Go to original source...
    23. Machek O., Hnilica J. (2013): International experience with the use of TFP benchmarking in energy price regulation. (Mezinárodní zkušenosti s využitím benchmarkingu TFP v cenové regulaci energetiky). Available at https://vse.cz/eam/vse.cz/eam/20692bd.pdf?lang=cs&jnl=eam&pdf=206.pdf (accessed Sept 10, 2022; in Czech).
    24. Mugera A.W., Langemeier M.R., Ojede A. (2016): Contributions of productivity and relative price changes to farm-level profitability change. American Journal of Agricultural Economics, 98: 1210-1229. Go to original source...
    25. Náglová Z., Rudinskaya T. (2021): Factors influencing technical efficiency in the EU dairy farms. Agriculture, 11: 1114. Go to original source...
    26. Pérez-Pons M.E., Parra-Dominquez J., Chamoso P., Plaza M., Alonso R. (2020): Efficiency, profitability and productivity: Technological applications in the agricultural sector. Advances in Distributed Computing and Artificial Intelligence Journal, 9: 47-54. Go to original source...
    27. Rahman M.W. (2011): Policies and performances of agricultural/rural credit in Bangladesh: What is the influence on agricultural production? African Journal of Agricultural Research, 6: 6440-6452. Go to original source...
    28. Sielska A., Kuszewski T. (2016): The efficiency of agricultural production in FADN regions in 1996-2011. Journal of Central European Agriculture, 17: 835-855. Go to original source...
    29. Taylor J.A., Bates T.R. (2013): A discussion on the significance associated with Pearson's correlation in precision agriculture studies. Precision Agriculture, 14: 558-564. Go to original source...
    30. Tian J., Liu Y. (2022): Spatial interaction effect of nonpoint source pollution and economic growth on agriculture using Kuznets curve and Grey correlation analysis. Mobile Information Systems, 2022: 6815016. Go to original source...
    31. Von Hobe C.F., Michels M., Musshoff O. (2021): Technical efficiency and productivity change in German large-scale arable farming. German Journal of Agricultural Economics, 70: 36-48. Go to original source...
    32. Wasilewski M., Mądra M. (2009): Regional differentiation of the use of production factors in the Polish agriculture. European Countryside, 1: 22-33. Go to original source...

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