Enterprise growth simulation model

The article offers a strategy for increasing the Russian economy through the rational use of the country's natural resources. As tools, it is offered to apply a functional approach to determine the critical functions of the system in order to generate additional income to improve the country's economy. A scheme for influencing the control system using the negative feedback method to improve the quality of the system is offered. New criteria are proposed for assessing the work of governors and ministers. For the implementation of the introduced innovative technologies, it is proposed to use funds from the excess profits of oil companies. Code JEL L20, M11, O11, O12, P11, C52, A20.

Section: Quantitative Calculationmentioning

confidence: 99%

Strategy for increasing the efficiency of the Russian economy under sanctions

Ivanov

2021

“…According to the operational monitoring [1] data of the ministry, the investments mastered by large and medium-sized organizations of industrial and fuel and energy complexes by the end of 2020 were increased by 30% compared to 2019 and amounted to about 62 billion rubles.…”

Section: Problem Formulationmentioning

confidence: 99%

Impact of the pandemic on the industrial development (Rostov region as the example)

Malkhasyan

Savelyeva

2021

Self Cite

The article is devoted to the development of the industrial complex in the conditions of spreading of new coronavirus infection. The following points are considered in the article: the main forms and tools of state support for industrial enterprises in the Rostov region in the context of the pandemic, measures taken by the Government of the Russian Federation and regions to reduce the negative impact of the pandemic on industries and stabilize the work of industrial enterprises.

“…In work [1] a simulation model of enterprise growth is built. It is assumed that the annual return on working capital and the loan rate are random values with a normal distribution, the amount of borrowed capital does not exceed the amount of own working capital.…”

Section: Introductionmentioning

confidence: 99%

Analysis of sensitivity of a company's financial sustainability to random factors

Avlasenko

Peshkhoev

et al. 2020

Self Cite

In this article the problem of influence of accidental changes of financial indicators of enterprise activity (equity, long-term/short-term borrowed capital, reserves and costs, etc.) caused by uncertainty of market conditions on values of indicators of financial stability is considered. The study is conducted on the basis of the assumption that the studied financial indicators of the enterprise are random values with a normal law of distribution. To estimate the distribution parameters of these random values, statistical data on the values of the financial indicators of the enterprise for previous years are used. Following estimates of probabilities of financial stability levels were built: absolute stability, normal stability, unstable state and crisis financial state. With the help of statistical modeling, numerical experiments were conducted in order to determine the level of financial condition and conclusions were formulated on the impact on the financial condition of the enterprise of the parameters of the distribution of probabilities of random variables - indicators of the financial and economic activity of the enterprise.