Application of Econometric Methods and Neural Network Analysis in Regional Sustainable Development Management Programs

Luisiena Puinko, Elena Tolkacheva

Abstract

The digitalization of the economy in Russia is subject to management influence from Federal, regional, and municipal Executive authorities. At the same time, there is a continuous search for methods and tools to improve its effectiveness. This process is complicated, among other things, by the fact that trends at all levels of economic digitalization management and mechanisms for its implementation in Russia currently remain insufficiently studied. The use of classical statistical and econometric methods for assessing and predicting socio-economic processes, both in Russia as a whole, and in individual regions and municipalities on its territory, has proven itself well; and at the same time, they are very time-consuming, and the result obtained through the use of statistical or econometric methods of analysis is obtained with a certain time delay; and at the time of its receipt, it does not correspond to the stated goals of the study. Then econometric analysis and statistical methods should be replaced by a tool that will allow you to get results faster with no less quality, and use it in a timely manner when implementing and correcting management tasks. One of the directions of development of new tools for analyzing many processes of dynamics, stochastic processes, and systems with big data is artificial intelligence, or information systems based on it. In the conditions of incomplete information about the socio-economic processes of any region, statistical methods of assessment can even give an erroneous result, which can provoke fatal management errors. To minimize forecasting estimates and optimize analysis and evaluation procedures, it is necessary to rely on modern, new and effective methods for analyzing stochastic processes.

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Paper Citation


in Harvard Style

Puinko L. and Tolkacheva E. (2021). Application of Econometric Methods and Neural Network Analysis in Regional Sustainable Development Management Programs. In Proceedings of the International Scientific and Practical Conference on Sustainable Development of Regional Infrastructure - Volume 1: ISSDRI, ISBN 978-989-758-519-7, pages 116-122. DOI: 10.5220/0010587001160122


in Bibtex Style

@conference{issdri21,
author={Luisiena Puinko and Elena Tolkacheva},
title={Application of Econometric Methods and Neural Network Analysis in Regional Sustainable Development Management Programs},
booktitle={Proceedings of the International Scientific and Practical Conference on Sustainable Development of Regional Infrastructure - Volume 1: ISSDRI,},
year={2021},
pages={116-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010587001160122},
isbn={978-989-758-519-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Scientific and Practical Conference on Sustainable Development of Regional Infrastructure - Volume 1: ISSDRI,
TI - Application of Econometric Methods and Neural Network Analysis in Regional Sustainable Development Management Programs
SN - 978-989-758-519-7
AU - Puinko L.
AU - Tolkacheva E.
PY - 2021
SP - 116
EP - 122
DO - 10.5220/0010587001160122