IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p1681-d1036783.html
   My bibliography  Save this article

Economic Performance of Dairy Sheep Farms in Less-Favoured Areas of Greece: A Comparative Analysis Based on Flock Size and Farming System

Author

Listed:
  • Vasiliki Papanikolopoulou

    (Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece)

  • Sotiria Vouraki

    (Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece)

  • Stergios Priskas

    (Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece)

  • Alexandros Theodoridis

    (Laboratory of Livestock Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece)

  • Socratis Dimitriou

    (Achilleas Socratis P.C., 53200 Amyntaio, Greece)

  • Georgios Arsenos

    (Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece)

Abstract

Dairy sheep farming is a significant agricultural sector in Mediterranean countries, providing income and employment opportunities in less-favoured areas (LFAs). The economic performance of dairy sheep farms is of significant interest to LFAs. However, relevant literature is scarce. The objectives here were to evaluate the economic performance of dairy sheep farms in LFAs of Greece and perform a comparative analysis based on flock size and farming system. In total, 19 and 26 dairy sheep farms for two production periods were used. Farm technical (flock size, production, grazing and nutritional management) and economic (income and variable costs) data were collected. The economic performance of farms was estimated using Happy Goats, a decision support tool for small ruminant farming. Estimated economic parameters were analysed by flock size (≤150 ewes vs. >150 ewes) and farming system (intensive/semi-intensive vs. semi-extensive). Results showed that 37% and 31% of farms were operating with losses in each production period, respectively. Based on nutritional management, ewes produced about 50 kg less milk per milking period. Smaller and semi-extensive farms had significantly ( p < 0.05) lower incomes and variable costs. A significantly ( p < 0.05) lower average gross margin was reported for smaller compared to larger farms. Results suggest a better economic perspective for larger flock sizes.

Suggested Citation

  • Vasiliki Papanikolopoulou & Sotiria Vouraki & Stergios Priskas & Alexandros Theodoridis & Socratis Dimitriou & Georgios Arsenos, 2023. "Economic Performance of Dairy Sheep Farms in Less-Favoured Areas of Greece: A Comparative Analysis Based on Flock Size and Farming System," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1681-:d:1036783
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/1681/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/1681/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Danilo Gambelli & Francesco Solfanelli & Stefano Orsini & Raffaele Zanoli, 2021. "Measuring the Economic Performance of Small Ruminant Farms Using Balanced Scorecard and Importance-Performance Analysis: A European Case Study," Sustainability, MDPI, vol. 13(6), pages 1-13, March.
    2. Alexandros Theodoridis & Sotiria Vouraki & Emmanuel Morin & Georgia Koutouzidou & Georgios Arsenos, 2022. "Efficiency Analysis and Identification of Best Practices and Innovations in Dairy Sheep Farming," Sustainability, MDPI, vol. 14(21), pages 1-12, October.
    3. A. M. Theodoridis & A. Psychoudakis, 2008. "Efficiency Measurement in Greek Dairy Farms: Stochastic Frontier vs. Data Envelopment Analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 1(2), pages 53-67, December.
    Full references (including those not matched with items on IDEAS)

    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. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E. Jr & Schmidt, Lance, 2014. "Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(1), pages 1-18, February.
    2. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    3. Yuhang Bai & Kuixing Han & Lichun Xiong & Yifei Li & Rundong Liao & Fengting Wang, 2022. "Differences and Factors of Raw Milk Productivity between China and the United States," Agriculture, MDPI, vol. 12(11), pages 1-13, November.
    4. Nikolskiy, Ilya & Furmanov, Kirill, 2023. "Assessing the accuracy of efficiency rankings obtained from a stochastic frontier model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 128-142.
    5. Fabio A. Madau & Roberto Furesi & Pietro Pulina, 2017. "Technical efficiency and total factor productivity changes in European dairy farm sectors," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-14, December.
    6. Leonidas Sotirios Kyrgiakos & Georgios Kleftodimos & George Vlontzos & Panos M. Pardalos, 2023. "A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability," Operational Research, Springer, vol. 23(1), pages 1-38, March.
    7. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. Han, Sang Woo & Lim, Song Soo & Balkibayeva, Aida, 2021. "Productive efficiency and trade opportunities for Kazakhstan dairy farms," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 24(1), December.
    9. Toušek, Zdeněk & Hinke, Jana & Malinská, Barbora & Prokop, Martin, 2022. "Shareholder Value Generation within the Agro-Food Financial Supply Chain," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(3), September.
    10. Concetta Cardillo & Orlando Cimino, 2022. "Small Farms in Italy: What Is Their Impact on the Sustainability of Rural Areas?," Land, MDPI, vol. 11(12), pages 1-25, November.
    11. Maganga M. Assa & Abdi-Khalil Edriss & Greenwell C. Matchaya, 2013. "Cost efficiency, Morishima, Allen-Uzawa and Cross-Price elasticities among Irish potato farmers in Dedza district, Malawi," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 6(1), pages 59-73, April.
    12. Anthony N. Rezitis & Maria A. Kalantzi, 2016. "Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 254-271, April.
    13. Sang Woo Han & Song Soo Lim & Aida Balkibayeva, 2022. "Productive efficiency and trade opportunities for Kazakhstan dairy farms," Economia agro-alimentare, FrancoAngeli Editore, vol. 24(1), pages 1-20.
    14. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E., Jr., "undated". "Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142962, Southern Agricultural Economics Association.
    15. Suela Kristo, 2013. "Efficiency of the Albanian banking system: Traditional approach and Stochastic Frontier Analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 6(3), pages 61-78, December.
    16. Virginia Serrano-Gómez & Oscar García-García & Antonio Rial-Boubeta, 2023. "Using Importance–Performance Analysis (IPA) to Improve Golf Club Management: The Gap between Users and Managers’ Perceptions," Sustainability, MDPI, vol. 15(9), pages 1-12, April.
    17. Gangyi Wang & Chang’e Zhao & Yuzhuo Shen & Ni Yin, 2021. "Estimation of cost efficiency of fattening pigs, sows, and piglets using SFA approach analysis: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    18. Vlontzos, George & Theodoridis, Alexandros, 2013. "Efficiency and Productivity Change in the Greek Dairy Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(2), pages 1-15.
    19. repec:ags:joaaec:163230 is not listed on IDEAS
    20. G. Thomas Sav, 2012. "Efficiency Estimates and Rankings Employing Data Envelopment and Stochastic Frontier Analyses: Evaluating the Management of U.S. Public Colleges," Information Management and Business Review, AMH International, vol. 4(8), pages 444-452.
    21. Alkinoos Psarras & Theodoros Anagnostopoulos & Ioannis Salmon & Yannis Psaromiligkos & Lazaros Vryzidis, 2022. "A Change Management Approach with the Support of the Balanced Scorecard and the Utilization of Artificial Neural Networks," Administrative Sciences, MDPI, vol. 12(2), pages 1-15, May.

    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:gam:jsusta:v:15:y:2023:i:2:p:1681-:d:1036783. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.