IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v63y2017i1id263-2015-agricecon.html
   My bibliography  Save this article

Economic efficiency of suckler cow herds in the Czech Republic

Author

Listed:
  • Jan SYRUCEK

    (Department of Cattle Breeding, Institute of Animal Science, Prague, Czech Republic)

  • Jindrich KVAPILIK

    (Department of Cattle Breeding, Institute of Animal Science, Prague, Czech Republic)

  • Ludek BARTON

    (Department of Cattle Breeding, Institute of Animal Science, Prague, Czech Republic)

  • Mojmir VACEK

    (Department of Animal Husbandry, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • Ludek STADNIK

    (Department of Animal Husbandry, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)

Abstract

The objective of the study was to assess the profitability of suckler cow herds located in different regions of the Czech Republic. Data on 2164 suckler cows were collected for 2013 from 20 beef farms using a questionnaire and the covered production, reproduction, and economic traits. Model calculations were used to determine the level of profitability with support payments either included (2.15%) or excluded (-45.5%). Break-even points defined as the points when the operation reaches zero profitability were estimated for the number of calves weaned and sold (81 calves/100 cows) and for the selling price of calves (54.6 CZK/kg). Fixed cost as a proportion of the total costs was reduced with the increasing herd size. Based on the results of a sensitivity analysis, the selling price for calves, the number of calves weaned the calving interval, and the amount of support payments were identified as the factors with the highest impact on the overall herd profitability.

Suggested Citation

  • Jan SYRUCEK & Jindrich KVAPILIK & Ludek BARTON & Mojmir VACEK & Ludek STADNIK, 2017. "Economic efficiency of suckler cow herds in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(1), pages 34-43.
  • Handle: RePEc:caa:jnlage:v:63:y:2017:i:1:id:263-2015-agricecon
    DOI: 10.17221/263/2015-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/263/2015-AGRICECON.html
    Download Restriction: free of charge

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/263/2015-AGRICECON.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/263/2015-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pannell, David J., 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics, Blackwell, vol. 16(2), pages 139-152, May.
    2. P. Šafus & J. Přibyl & Z. Veselá & L. Vostrý & M. Štípková & L. Stádník, 2006. "Selection indexes for bulls of beef cattle," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 51(7), pages 285-298.
    3. Huan Zhao & Xiaodong Du & David Hennessy, 2011. "Pass-through in United States beef cattle prices: a test of Ricardian rent theory," Empirical Economics, Springer, vol. 40(2), pages 497-508, April.
    4. Belasco, Eric J. & Schroeder, Ted C. & Goodwin, Barry K., 2010. "Quality Risk and Profitability in Cattle Production: A Multivariate Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-21, December.
    5. M. Wolfová & J. Wolf & R. Zahrádková & J. Přibyl & J. Daňo & J. Kica, 2004. "Main sources of the economic efficiency of beef cattle production systems," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 49(8), pages 357-372.
    6. Crosson, P. & O'Kiely, P. & O'Mara, F.P. & Wallace, M., 2006. "The development of a mathematical model to investigate Irish beef production systems," Agricultural Systems, Elsevier, vol. 89(2-3), pages 349-370, September.
    7. Tomáš DOUCHA & Ivan Foltýn & Jaroslav HUMPÁL, 2012. "Profitability of dairy and suckler cows breeding on Czech farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(9), pages 397-408.
    8. F. Střeleček & P. Kollar, 2002. "Searching the proportional level of operating costs - specification of the minimum volume of production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 48(3), pages 106-116.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gazzarin, Christian & Jan, Pierrick, 2024. "Sustainable intensification of grass-based beef production systems in alpine regions: How to increase economic efficiency while preserving biodiversity?," Agricultural Systems, Elsevier, vol. 214(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jan Syrůček & Luděk Bartoň & Dalibor Řehák & Jindřich Kvapilík & Jiří Burdych, 2019. "Evaluation of economic indicators for Czech dairy farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(11), pages 499-508.
    2. Kopke, Emma & Kingwell, Ross S. & Young, John, 2005. "A farm-level economic assessment of the Australian Merino, Dohne Merino, and South African Meat Merino sheep breeds in southern Australia," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137934, Australian Agricultural and Resource Economics Society.
    3. Karin Fierke & Antje Wiener, 1999. "Constructing Institutional Interests: EU and NATO Enlargement," EUI-RSCAS Working Papers 14, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    4. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    5. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    6. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-20.
    7. Stephen P. Chambal & Jeffery D. Weir & Yucel R. Kahraman & Alex J. Gutman, 2011. "A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models," Decision Analysis, INFORMS, vol. 8(4), pages 303-321, December.
    8. Chudleigh, Fred & Cox, Howard W. & Chapman, Veronica J., 2002. "Modelling profitable and sustainable farming systems in Central Queensland," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125070, Australian Agricultural and Resource Economics Society.
    9. Sloane, Peter J, 2010. "Symposium 7: The Fair Work Australia Minimum Wage Decision Viewed From Afar," Australian Bulletin of Labour, National Institute of Labour Studies, vol. 36(3), pages 346-350.
    10. Smith, M, 2009. "Gender Pay Equity Reform in Australia: What is the Way Forward?," Australian Bulletin of Labour, National Institute of Labour Studies, vol. 35(4), pages 652-670.
    11. Abdmouleh, Zeineb & Gastli, Adel & Ben-Brahim, Lazhar & Haouari, Mohamed & Al-Emadi, Nasser Ahmed, 2017. "Review of optimization techniques applied for the integration of distributed generation from renewable energy sources," Renewable Energy, Elsevier, vol. 113(C), pages 266-280.
    12. Melissa G. S. McKendree & Glynn T. Tonsor & Zekuan Dong, 2024. "Price pass‐through in the U.S. beef industry: Implications of feedlot capacity utilization," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 72(3), pages 365-387, September.
    13. Eckard Rehbinder, 1997. "Environmental Agreements. A New Instrument of Environmental Policy," EUI-RSCAS Working Papers 45, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    14. Amy Verdun, 1998. "The Role of the Delors Committee in the Creation of EMU: An Epistemic Community?," EUI-RSCAS Working Papers 44, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    15. Abdul Latif & Arup Pramanik & Dulal Chandra Das & Israfil Hussain & Sudhanshu Ranjan, 2018. "Plug in hybrid vehicle-wind-diesel autonomous hybrid power system: frequency control using FA and CSA optimized controller," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1147-1158, October.
    16. Stelios Rozakis & Alexandra Sintori & Konstantinos Tsiboukas, 2009. "Utility-derived Supply Function of Sheep Milk: The Case of Etoloakarnania, Greece," Working Papers 2009-11, Agricultural University of Athens, Department Of Agricultural Economics.
    17. Roberts, Anna M. & Pannell, David J. & Doole, Graeme & Vigiak, Olga, 2012. "Agricultural land management strategies to reduce phosphorus loads in the Gippsland Lakes, Australia," Agricultural Systems, Elsevier, vol. 106(1), pages 11-22.
    18. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Fleming, Euan M. & Zhao, Xueyan, 2008. "Potential returns to the Australian sheep and wool industries from effective R&D and promotion investments and their sensitivities to assumed elasticity values," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 16.
    19. Liesio, Juuso & Mild, Pekka & Salo, Ahti, 2007. "Preference programming for robust portfolio modeling and project selection," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1488-1505, September.
    20. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlage:v:63:y:2017:i:1:id:263-2015-agricecon. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.