Received: 2019-03-16  |  Accepted: 2019-10-10  |  Published: 2019-12-15

Title

Production activity control methods of the agricultural organizations


Abstract

At the present stage, the issues of information formation, its processing and use in management decision-making processes in the practice of commercial organizations are usually associated with the functioning of the controlling system. The subject of research is a system for controlling the production activities of organizations in the agricultural sector. In the economic literature, the management of production costs is called the main objective function of this system. The main scientific problem to solve is to study of methods of controlling production activities to improve the efficiency of managing the economic activities of the enterprise.The paper aims to suggest the application of regression analysis in relation to agricultural production in Russia as a whole, as well as in the framework of the crop and livestock industries. For the relevant indicators, taking into account the factors that influence them, the regression equations are compiled, its use is justified for analyzing the sensitivity of the resulting indicators to the dynamics of the factors taken into account, as well as for constructing economic forecasts, taking into account the dynamics of the development of factors that influence the studied indicator. The data obtained using such models can be used in the process of controlling the production activity of an agricultural enterprise for monitoring and analysis.


Keywords

controlling, production activity, regression analysis


JEL classifications

M11 , M41 , Q13


URI

http://jssidoi.org/jesi/article/440


DOI


Pages

1330-1340


Funding

This research was carried out with the financial support of the Russian Foundation for Basic Research within the framework of the scientific project 18-010-01096 «Neo-system approach as a factor of scientific justification of transformation of the fundamentals of controlling of agribusiness organizations»

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Bychkova, Svetlana Mikhailovna
Saint Petersburg State Agrarian University, Saint Petersburg, Russian Federation http://spbgau.ru
Articles by this author in: CrossRef |  Google Scholar

Zhidkova, Elena Anatolyevna
Kemerovo State University, Kemerovo, Russian Federation https://kemsu.ru
Articles by this author in: CrossRef |  Google Scholar

Eliashev, Dmitriy Vitalievich
Saint Petersburg State Agrarian University, Saint Petersburg, Russian Federation http://spbgau.ru
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

7


Number

2


Issue date

December 2019


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 1217  |  PDF downloads: 496

References


Berdnikov V.V. 2009. Controlling business performance: Monograph. Moscow, Russian Federation: RUDN University, 257 p.

Search via ReFindit


Berdnikov V.V. 2012. Business controlling: models, development, problems, solutions: Monograph. Moscow, Russian Federation: Publishing house «Economic newspaper», 452 p.

Search via ReFindit


Bychkova, S,, Makarova, N., Zhidkova, E. 2018. Measurement of information in the subsystem of internal control of the controlling system of organizations of the agro-industrial complex. Entrepreneurship and Sustainability Issues, 6(1), 35-43. http://doi.org/10.9770/jesi.2018.6.1(3)

Search via ReFindit


Ciobanu, A., Androniceanu, A. 2018. Integrated human resources activities - the solution for performance improvement in Romanian public sector institutions. Management Research and Practice, 10(3), 60-79.

Search via ReFindit


Federal state statistics service. 2019. https://www.gks.ru

Search via ReFindit


Federal state statistics service. 2019. Retrieved from http://www.gks.ru

Search via ReFindit


Girdzijauskaite, E., Radzeviciene, A., Jakubavicius, A. 2019. Impact of international branch campus KPIs on the university competitiveness: FARE method. Insights into Regional Development, 1(2), 171-180. https://doi.org/10.9770/ird.2019.1.2(7)

Search via ReFindit


Karminsky A.M., Falko S.G., Zhevaga A.A. et al. 2013. Controlling: a textbook. Moscow, Russian Federation: Publishing House FORUM: INFRA-M, 372 p.

Search via ReFindit


Krokhmal V.V. 2004. Synthesis of the numerical model and stability analysis of the processing complex of the agro-industrial complex of the Krasnodar Territory. Polythematical Network Electronic Scientific Journal of the Kuban State Agrarian University, 3, 123-146.

Search via ReFindit


Masood, O., Tvaronavičienė, M., Javaria, K. 2019. Impact of oil prices on stock return: evidence from G7 countries. Insights into Regional Development, 1(2), 129-137. https://doi.org/10.9770/ird.2019.1.2(4)

Search via ReFindit


Nita, B. 2018. The Impact of Controllability Principle on Managerial Performance at Lower Hierarchical Levels. Empirical Evidence from Poland. Transformations in Business & Economics, 17, (2A (44A)), 294-308

Search via ReFindit


Orlov A.I., Lutsenko E.V., Loyko V.I. 2015. Promising mathematical and instrumental methods of controlling. Krasnodar, Russian Federation: KubSAU, 372 p.

Search via ReFindit


Pavlenkov M.N. 2007. Controlling an industrial enterprise: methodology, theory, practice: Monograph. Nizhny Novgorod, Russian Federation: Publishing House of the Volga-Vyatka Academy of State Service.

Search via ReFindit


Shelyag M.M., Lutsenko E.V. 2009. Mathematical model and toolkit for managing production volumes in apk based on cost structure (based on materials from the Krasnodar Territory). Polythematical Network Electronic Scientific Journal of the Kuban State Agrarian University, 54, 69-97.

Search via ReFindit


Unified interdepartmental information and statistical system (EMISS). 2019. Retrieved from https://fedstat.ru

Search via ReFindit