The Model of the Production Side of the Russian Economy

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2021-10-01 DOI:10.25728/ASSA.2021.21.3.1106

N. Pilnik, S. Radionov

引用次数: 1

Abstract

We consider the model of the production side of the Russian economy. This model is derived as the solution of the nonlinear dynamic optimization problem of the macroeconomic agent we call Producer. This agent maximizes his discounted profit flow under technologic, demographic and financial constraints. We use the method of relaxation of complementary slackness conditions to transform the model to the more regular one and evaluate its parameters on the Russian macroeconomic data. We show that this model can successfully replicate the large set of Russian macroeconomic indicators such as gross domestic product, loans of producers, volume of fixed assets etc.

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俄罗斯经济生产侧模型

我们考虑的是俄罗斯经济生产方面的模式。该模型是作为宏观经济主体生产者的非线性动态优化问题的解而导出的。在技术、人口和财务约束下，代理商最大化其贴现利润流。我们利用互补松弛条件的松弛方法将模型转化为更正则的模型，并在俄罗斯宏观经济数据上对其参数进行了评价。我们的研究表明，该模型可以成功地复制俄罗斯的大量宏观经济指标，如国内生产总值(gdp)、生产商贷款、固定资产规模等。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.