IDEAS home Printed from https://ideas.repec.org/a/ags/areint/270306.html
   My bibliography  Save this article

Эффективность Операционной Деятельности Сельскохозяйственных Предприятий

Author

Listed:
  • Todorich, Ludmila

Abstract

Economic activity at both the micro and macro levels assumes constant comparison of the results of activities and costs associated with it, determining the most effective option for action. Objective assessment of the enterprise activity, involving the calculation and analysis of indicators of efficiency takes priority. The paper deals with assessment of the economic efficiency of operating activities of agricultural enterprises on the basis of an improved approach. The analysis of efficiency of operating activities is based on the example of the data of a particular agricultural enterprise from the country with a transition economy. Analysis of the efficiency of the operating activities of enterprise on the basis of calculating of profitability of sold agricultural products and return of sales are conducted; the necessity of calculation of these indicators based on operating profit is underlined. To obtain more complete information on the state of the enterprise’s efficiency, it is proposed to determine the overall indicator of profitability of operating activities. The mechanism of distribution of total revenues and costs by kinds of production is considered. It is proposed to classify the concept of «operational activities» into operational production and operational non-production activities.

Suggested Citation

  • Todorich, Ludmila, 2018. "Эффективность Операционной Деятельности Сельскохозяйственных Предприятий," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 4(1), March.
    • Handle: RePEc:ags:areint:270306
    DOI: 10.22004/ag.econ.270306
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/270306/files/10_%D0%A2%D0%BE%D0%B4%D0%BE%D1%80%D0%B8%D1%87_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D1%8F.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/270306/files/10_%D0%A2%D0%BE%D0%B4%D0%BE%D1%80%D0%B8%D1%87_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D1%8F.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.270306?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
    ---><---

    References listed on IDEAS

    as
    1. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    2. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    3. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    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. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    2. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    3. Friedrich Schneider & Mangirdas Morkunas & Erika Quendler, 2021. "Measuring the Immeasurable: The Evolution of the Size of Informal Economy in the Agricultural Sector in the EU-15 up to 2019," CESifo Working Paper Series 8937, CESifo.
    4. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    5. Frýd, Lukáš & Sokol, Ondřej, 2021. "Relationships between technical efficiency and subsidies for Czech farms: A two-stage robust approach," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    6. Garrone, Maria & Emmers, Dorien & Olper, Alessandro & Swinnen, Johan, 2019. "Jobs and agricultural policy: Impact of the common agricultural policy on EU agricultural employment," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    7. Jean‐Paul Chavas & Doris Läpple & Bradford Barham & Emma Dillon, 2022. "An economic analysis of production efficiency: Evidence from Irish farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 153-173, June.
    8. Andrzej Czyżewski & Ryszard Kata & Anna Matuszczak, 2022. "Determinants of the Agricultural Budget in Poland in the Light of Its Relation to GDP and State Budget Expenditure," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 3, pages 307-325.
    9. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    10. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 760-781, September.
    11. Mariarosaria Agostino & Ercan Enzo Comert & Federica Demaria & Sabrina Ruberto, 2024. "What kinds of subsidies affect technical efficiency? The case of Italian dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 116-138, January.
    12. Kuhle Prudence Mnisi & Abdul Latif Alhassan, 2021. "Financial structure and cooperative efficiency: A pecking‐order evidence from sugarcane farmers in Eswatini," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(2), pages 261-281, June.
    13. Galluzzo Nicola, 2020. "A Technical Efficiency Analysis of Financial Subsidies Allocated by the Cap in Romanian Farms Using Stochastic Frontier Analysis," European Countryside, Sciendo, vol. 12(4), pages 494-505, December.
    14. Petrick, Martin & Kloss, Mathias, 2013. "Identifying Factor Productivity from Micro-data: The case of EU agriculture," Working papers 144004, Factor Markets, Centre for European Policy Studies.
    15. Dragan Milić & Tihomir Novaković & Dragana Tekić & Bojan Matkovski & Danilo Đokić & Stanislav Zekić, 2023. "Economic Sustainability of the Milk and Dairy Supply Chain: Evidence from Serbia," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    16. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 422-438, May.
    17. Khafagy, Amr & Vigani, Mauro, 2022. "Technical change and the Common Agricultural Policy," Food Policy, Elsevier, vol. 109(C).
    18. Hill, Daniel, 2020. "Technology heterogeneity and poverty traps: A latent class approach to technology gap drivers of chronic poverty," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305253, Australian Agricultural and Resource Economics Society.
    19. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    20. K Hervé Dakpo & Yann Desjeux & Philippe Jeanneaux & Laure Latruffe, 2017. "Productivity, technical efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," Working Papers SMART 17-07, INRAE UMR SMART.

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    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:ags:areint:270306. 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: AgEcon Search (email available below). General contact details of provider: http://are-journal.com/are .

    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.