DETERMINANTS OF THE DEVELOPMENT OF ANTI-CORRUPTION POTENTIAL

The worldwide development of the COVID-19 coronavirus epidemic is characterized by delayed decision-making on harsh quarantine measures in almost all countries.It is not difficult to assume that the adoption of too harsh measures that are optimal from a medical point of view can lead to disastrous consequences for the economy, and hence worsening social situation.Hence, the need arises to quickly develop a comprehensive economic and epidemiological model that could combine well-developed epidemic management models with well-developed models of economic growth management, which is the goal and result of this work.A modified SIR model was used as the basic epidemic model.As a model of economic growth, we used the probabilistic model of mixed economic systems that we developed.The integration of these models in an extremely simplified version into a single system of discrete equations has been performed, which can be used as a comprehensive economic and epidemiological model.

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Published
2024-12-19
DOI
https://doi.org/10.34660/inf.2020.28.63849
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
0.00

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article

DETERMINANTS OF THE DEVELOPMENT OF ANTI-CORRUPTION POTENTIAL

S.Y. Elpashev
Corruption and Economic Development
article

DETERMINANTS OF THE DEVELOPMENT OF ANTI-CORRUPTION POTENTIAL

S.Y. Elpashev
article en

Abstract

The worldwide development of the COVID-19 coronavirus epidemic is characterized by delayed decision-making on harsh quarantine measures in almost all countries.It is not difficult to assume that the adoption of too harsh measures that are optimal from a medical point of view can lead to disastrous consequences for the economy, and hence worsening social situation.Hence, the need arises to quickly develop a comprehensive economic and epidemiological model that could combine well-developed epidemic management models with well-developed models of economic growth management, which is the goal and result of this work.A modified SIR model was used as the basic epidemic model.As a model of economic growth, we used the probabilistic model of mixed economic systems that we developed.The integration of these models in an extremely simplified version into a single system of discrete equations has been performed, which can be used as a comprehensive economic and epidemiological model.

Transbaikal State University (RU)
Russian Foundation for Basic Research
Peace, Justice and strong institutions
Openalex Percentile: Top 62%
Corruption and Economic Development
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