On the Model of Prognosis of Proceeds of Industrial Enterprises

  • E.L. Pankratov Nizhny Novgorod State University, 23 Gagarin Avenue, Nizhny Novgorod, 603950, Russia and Nizhny Novgorod State Technical University, 24 Minin Street, Nizhny Novgorod, 603950, Russia
Keywords: prognosis of proceeds of industrial enterprises; maximization of volume of manufactured products; maximization of proceeds; analytical approach for prognosis


In modern economic theory, scientific and technological progress considers as one of the relevant factors of long-term eco-nomic growth. The influence of scientific and technological progress on a particular sector of the economy appears in the creation of new products that have important competitive advantages over existing ones, or in the modification (modernization) of existing products. Often, new products based on new (innovative) technologies. However, technological superiority requires well-timed modernization of production and staff training, that is, significant financial and organizational investments. At the same time, the rejection of the transition to innovative technologies can lead to tangible losses in market positions or even to a complete cessa-tion of the organization. This model gives a possibility to make a prognosis of proceeds of enterprises with account changing of quantity of manufactured products, as well as various expenses (raw materials, transportation costs,...). An analytical approach for analyzing the influence of various parameters on the proceeds has been introduced.


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Firdaus, Q. (2019). A Philosophical Reflection in Controlling the Property and Self-ownership. Konfrontasi Journal: Culture, Economy and Social Changes, 6 (2), 1-7.
Korn, G.  Korn, T. (1968). Mathematical Handbook for scientists and engineers. Definitions, theorems and formulas for reference and review. Second edition. New York: McGraw-Hill Book Company.
Mertzanis, Ch. (2017). Short selling regulation, return volatility and market volatility in the Athens Exchange. Studies in economics and finance, 34 (1), 82-104.
Nathaphan, S.  Chunhachinda, P. (2010). Estimation risk modeling in optimal portfolio selection: an empirical study from emerging markets. Economics research international, Vol. 2010. Article ID 340181.
Nikoloski, A. (2020). Influence of public revenues on economic growth the case of the Republic of North Macedonia. Konfrontasi Journal: Culture, Economy and Social Changes, 7 (3), 191-204.
Pankratov, E.L. (2018). Nonlinear profit maximization with account changing of prices. International journal of modeling, simulation and applications, 2 (2), 9-17.
Pankratov E.L. (2019). Model for prognosis of economic growth: accounting of influence of the environment. Global economy journal, 19 (1), 1950007-1--1950007-2.
Prat, J. (2015). Dynamic contracts and learning by doing. Mathematics and financial economics, 9 (3), 169-193.
Wu, Ch.W.,  Hung, W.Zh. (2010). Real national income average growth rate: a novel economic growth and social fair evaluation index. Economics research international, Vol. 2010. Article ID 678927.
Yaghoubi, R., Yaghoubi, M., Locke, St.  Gibb, J. (2016). Mergers and acquisitions: a review (part 2). Studies in economics and finance, 33 (3), 437-464.
How to Cite
E.L. Pankratov. (2020). On the Model of Prognosis of Proceeds of Industrial Enterprises . Konfrontasi: Jurnal Kultural, Ekonomi Dan Perubahan Sosial, 7(4), 253-263. https://doi.org/10.33258/konfrontasi2.v7i4.123