Investment principles in value-target processes of electricity consumption at iron ore enterprises

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Authors:


T.Beridze*, orcid.org/0000-0003-2509-3242, Kryvyi Rih National University, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Z.Baranik, orcid.org/0000-0002-9753-4572, Kyiv National Economics University named after Vadym Hetman, Kyiv, Ukraine

S.Tkachenko, orcid.org/0000-0002-3798-5902,  Zaporizhzhia National University, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.Kutova, orcid.org/0000-0002-6145-0713, Kryvyi Rih National University, Kryvyi Rih, Ukraine

O.Korolenko, orcid.org/0000-0002-0771-4298, Kryvyi Rih National University, Kryvyi Rih, Ukraine

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (6): 169 - 174

https://doi.org/10.33271/nvngu/2023-6/169



Abstract:



Purpose.
To establish the influence of investment on cost-target processes of electric consumption of iron ore enterprises by applying economic and mathematical models.


Methodology.
As a result of the research, system and critical analysis was applied in the synthesis of formation of economic and analytical indicators and processes of electricity consumption at iron ore enterprises. Methods of comparative analysis, functional-cost, economic-statistical research were used to determine cost-target characteristics when building economic-mathematical models. The general basis of the conducted study is a complex approach.


Findings.
The capitalization of relations in Ukraine requires a more careful organization of the practice of investing, in relation to the cost policy of electricity consumption at industrial enterprises in Ukraine. When mining iron ore, optimal matching of the cost of electricity consumption and investment investments, which make it possible to ensure the necessary volumes of production, is of great importance. Due to this, in modern conditions, the necessary digital support of investment processes is of great importance. An economic-mathematical model of the impact of investments on the cost-target problems of electric energy consumption is developed, which allows numerically determining the interrelationship of the selected indicators. The combination of theoretical study with practical implementation made it possible to investigate the conditions under which there is the best ratio of investment investments and the cost of electricity consumption.


Originality.
The method of influencing investment on the cost of electricity consumption by iron ore enterprises has received further development. An economic-mathematical model has been constructed that allows the proposed method to be implemented.


Practical value.
The analysis of the results of the cost of electricity consumption at iron ore enterprises allows us to estimate the statistical dependence of the cost of electricity consumption on the amount of investment. The conducted analysis made it possible to investigate the dependence of the values of the total average daily costs of consumed electricity, the cost of consumed electricity, the specific cost of electricity consumption on the amount of investment contributions at the enterprises of Kryvyi Rih Iron Ore Combine on the basis of regression models. It is expedient to determine the question of choosing an optimization option on the basis of an analysis of the real economic situation in accordance with the volume and cost of electricity consumption at iron ore enterprises. The practice of applying the proposed research results makes it possible to determine the most optimal option for energy efficiency management.



Keywords:
electric consumption, electric supply, iron ore enterprise, investment investments, regression model

References:


1. Kosyns’ka, O. V. (2011). Cost optimization as a means of increasing the profitability of enterprises. Formuvannia rynkovykh vidnosyn v Ukraini, 7(122), 106-110.

2. Popovych, H. V. (2011). Cost optimization of the enterprise, as an important factor of increasing the competitiveness. Conference materials. Current problems of modern science. Retrieved from http://www.rusnauka.com/15_APSN_2011/Economics/14_87797.doc.htm.

3. Kachmaryk, Ya. D., Kutsyk, P. O., Lupak, R. L., & Kachmaryk, I. Ya. (2012). The economic mechanism of ensuring the competitiveness of a trading enterprise: monograph. Lviv: Literaturna ahentsiia “Piramida”.

4. Beshta, O. S., Kuvaiev, V. M., Mladetskyi, I. K., & Kuvaiev, M. V. (2020). ULPA particle separation model in a spiral classifier. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 31-35. https://doi.org/10.33271/nvngu/2020-1/031.

5. Leonov, Ya. V., & Herasymenko, Yu. S. (2010). The system of cost management as a factor of competitiveness. Biuleten mizhnarodnoho nobelivskoho ekonomichnoho forumu, 1(2), 175-183.

6. Omel’nychenko, O. S. (2016). Directions of cost optimization in the management system. Efektyvna ekonomika, (4). Retrieved from http://www.economy.nayka.com.ua.

7. Bojko, Ye. O., & Ryzhkova, H. S. (2015). Strategic investment directions of renewable energy sources. Naukovyi Visnyk Mizhnarodnoho Humanitarnoho Universytetu Seriia: Ekonomika i menedzhment. Zbirnyk naukovykh prats’, 14, 52-56.

8. Sivits’ka, S. P. (2014). Strategic directions of investing in alternative energy in the context of the development of the national economy. Molodizhnyj ekonomichnyj dajdzhest, 1(1), 76-80.

9. Herneho, Yu. O., & Liakhova, O. O. (2021). Financing the development potential of alternative energy in Ukraine. Efektyvna ekonomika, (3). Retrieved from http://www.economy.nayka.com.ua.

10. Gernego, Iu., & Dyba, O. (2016). Energy efficiency financing: innovative models and strategies. PNAP, 18(3), 79-88.

11. Pryb, K. A. (2021). Investing in the development of renewable energy sources. Naukovi zapysky NAUKMA. Ekonomichni nauky, 6(1), 111-116.

12. State Statistics Service of Ukraine (n.d.). Retrieved from http://www.ukrstat.gov.ua/.

13. SMIDA (n.d.). Account of information services. Reports of enterprises. Retrieved from http://smida.gov.ua.

14. Zakharchenko, V. I. (2019). Correct use of the regressional analysis in economic research. Economic journal Odessa polytechnic university, 4(10), 68-75.

 

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ISSN (print) 2071-2227,
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