Forecasting the Prime Cost of Milk Production in an Uncertain Environment

  • T. YurenevaEmail author
  • O. Barinova
  • S. Golubeva
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 138)


In the context of unstable economy, the importance of the quality of information required in the process of business management increases. The possibility of obtaining information that objectively reflects the economic situation of an enterprise is provided by the use of economic and statistical methods. In the article the possibility of the prime cost forecasting of milk production was studied based on the calculation of the complex influence of production factors on this indicator. As a result, a list of factors was determined that had the greatest impact on the effective feature – the prime cost, and statistically significant regression models for its prediction were built. The econometric regression model of the prime cost forecasting of milk taking into account the factor of cyclicity was developed, which allowed obtaining refined estimates of the prospective values of the indicator. The algorithm of construction of additive and multiplicative models of the forecasting of the prime cost taking into account the cyclic component that allowed increasing accuracy of the calculated forecasts was offered.


Prime cost Forecasting Model Regression Correlation Factors Cyclicity 


  1. 1.
    Agapova, T.N., Medvedeva, N.A.: Forecasting of the region’s agriculture development in the conditions of WTO. Econ. Agric. Russ. 10, 25–32 (2013)Google Scholar
  2. 2.
    Barinova, O.I., Shikhova, O.A.: Methodological problems of milk cost forecasting in operational cost management. In: Innovative Way of Development of Agro-Industrial Complex: Collection of Scientific Works on Materials of XXXIX International Scientific-Practical Conference of the Faculty, 24–25 February 2016, Yaroslavl State Agricultural Academy, pp. 156–161. Publishing House of the Yaroslavl State Agricultural Academy (2016)Google Scholar
  3. 3.
    Barinova, O.I.: Management of the Production Costs of Milk in Agricultural Organizations: Monograph. In: Barinova, O.I. (ed.) Under Scientific Editorship of P.M. Sovetov. Vologda SDFA, Vologda-Molochnoe, 201 p. (2016)Google Scholar
  4. 4.
    Eliseeva, I.N., Yuzbashev, M.M.: General Theory of Statistics. Finance and Statistics, Moscow (1998). 480 p.Google Scholar
  5. 5.
    Zinchenko, A.P., Demichev, V.V., Maslakova, V.V.: Analysis of investment activity in agriculture of Russia in the conditions of implementation of state programs. Account. Agric. 9, 70–83 (2016)Google Scholar
  6. 6.
    Zinchenko, A.P, Altukhov, A.I, Rodionova, O.A, Borkhunov, N.A.: Methodological issues of economic and statistical analysis of agriculture. In: Methodical Support of Scientific Researches of Economic Problems of Agricultural Development of Russia: Monograph. Fund The Personnel Reserve, Moscow, pp. 129–157 (2016)Google Scholar
  7. 7.
    Medvedeva, N.A.: Scenario forecasts of the development of agriculture in the Vologda region. Bull. Agroindustrial Complex Upper Volga 3(27), 9–13 (2014)Google Scholar
  8. 8.
    Mustafaeva, U.Z.: Regression analysis of the dependence of the volume of production on the cost of it. Econ Agric Process Enterprises 5, 46–47 (2007)Google Scholar
  9. 9.
    Rodionova, O.A., Borkhunov N.A., Altukhov, A.I., Zinchenko, A.P.: Methodological aspects of the research of reproduction in the agricultural sector of the economy. In: Methodological Support for Research of Economic Problems of Development of Agriculture in Russia: Monograph. Personnel Reserve Fund, pp. 269–278 (2016)Google Scholar
  10. 10.
    Zinchenko, A.O., Bautin, V.M., Dumnov, A.D., Skachkova, S.A., Ukolova, V.A., Kagirova, M.V., Romantseva, Y.N., Demichev, V.V., Arefyeva, V.A., Kharitonova, E.A., Datieva, B.S., Kolomeeva, E.S.: Contemporary Problems of Agricultural Statistics and the Environment, 198 p. Publishing House of Russian State Agrarian University-MTAA, Moscow (2016)Google Scholar
  11. 11.
    Frumin, I.L., Tsvetkova, E.V.: The study of some problems of agricultural Economics by cluster analysis. Economics and Management: News of the Chelyabinsk Scientific Center 4(38), 93–97 (2007)Google Scholar
  12. 12.
    Kharitonova, A.E., Dumnov, A.D.: Statistical Analysis and Modeling of Ecological and Economic Processes in Agriculture: Monograph. Publishing House of Russian State Agrarian University-MTAA, Moscow, 160 p. (2016)Google Scholar
  13. 13.
    Czekalinski, A.N., Sovetov, PM: The Problem of the Use of Scientific and Technological Achievements in Agriculture: Monograph. ISERT RAS, Vologda, 164 p. (2015)Google Scholar
  14. 14.
    Shikhova, O.A., Butenina, Y.M.: Methodological bases of comparative evaluation of the economic potential of industries. Dairy Herald. 4(20), 126–138 (2015)Google Scholar
  15. 15.
    Yureneva, T.G., Barinova, O.I.: Cost differentiation in the dairy industry for short-term forecasting of milk cost. Manag. Account. 4, 28–37 (2016)Google Scholar
  16. 16.
    Shim, J.K.: Modern Cost Management and Analysis. Jae, R., Shim, J.K., Siegel, J.G. (eds.), 2 edn., Barron’s (2009)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Vologda SDFAVologdaRussia

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