Formation of an economic assessment mechanism for anthropogenic risks of modern energy production
- Authors: Zimin K.A.1
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Affiliations:
- JSC Rosseti Scientific and Technical Center
- Issue: Vol 21, No 5 (2025)
- Pages: 254-261
- Section: Regional and Sectoral Economics
- URL: https://journals.eco-vector.com/2541-8025/article/view/696873
- EDN: https://elibrary.ru/keybit
- ID: 696873
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Abstract
Research objective. The article discusses the problems of assessing anthropogenic risks in the industry (energy sector) in order to develop optimal investment decisions. The factors of production that affect capitalization, economic efficiency of production activities, and the safety of energy production are analyzed. It is extremely important to take a comprehensive and balanced approach to achieving these goals in the electric power industry, an infrastructure sector of the economy whose results affect all sectors of the national economy. The human capital of an enterprise is a crucial factor in the production of a modern economy, an economy of knowledge. The assessment of this factor is necessary for managing the efficiency of production activities, investment attractiveness, and financial planning of companies in the real sector, especially in the energy sector. The article presents methodological approaches to the formation of technologies for assessing and predictive analysis of anthropogenic risks at electric power enterprises. The analysis of production status indices is used as a scientific basis for assessing anthropogenic risks. The author has set and solved the problem of finding the rational value of parameters characterizing anthropogenic risks, substantiated approaches to assessing the damage caused by their implementation, and defined the principles for building a system of economic assessment and taking them into account in strategic planning of economic activities. Using the example of a specific research project, the article demonstrates the possibility of increasing the economic efficiency of energy enterprises by choosing rational strategies and conducting predictive analysis of business development scenarios. Based on the conducted experiments and scientific analysis of big data (Big Data), it has been proven that the presented mechanism allows for a valid and adequate assessment of the human capital of energy subjects and the effectiveness of investments in it.
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About the authors
Kirill A. Zimin
JSC Rosseti Scientific and Technical Center
Author for correspondence.
Email: zimin_ka@ntc-power.ru
SPIN-code: 1917-2287
Deputy General Director for Engineering
Russian Federation, MoscowReferences
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