Modeling the Relationship of Social Product and Indicators of Demography, Labor, and Employment as a Scientific Basis for the Digital Economy of the Region
- DOI
- 10.2991/aebmr.k.200502.090How to use a DOI?
- Keywords
- gross regional product, demographic situation, labor resources, average annual number of employees, correlation and regression analysis, trend analysis, multiple regression models, forecast
- Abstract
The main resource of the digital economy is information that, thanks to digital trends, has no limits of use [1]. Economic information, clothed in the form of science-based models of planning and management, in a digital economy makes it possible to increase the level of forecasting by the development of socio-economic systems [2]. The study aims to identify causal relationships in the economy of a particular region between a social product and such socio-economic indicators as demography, labor and employment, based on correlation and regression analysis. The article analyzes the degree of dependence and tightness of the relationship (correlation) between GRP and the main indicators of the development of the Lipetsk region. Trend forecasting models and multiple regression equations are constructed, and the significance of the obtained dependencies is estimated. The results obtained in this study provide an understanding of the role of the number of employed in the dynamics of the gross regional product of the Lipetsk region.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - E.I. Kozlova AU - M.A. Novak AU - M.Yu. Karlova PY - 2020 DA - 2020/05/05 TI - Modeling the Relationship of Social Product and Indicators of Demography, Labor, and Employment as a Scientific Basis for the Digital Economy of the Region BT - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020) PB - Atlantis Press SP - 553 EP - 559 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200502.090 DO - 10.2991/aebmr.k.200502.090 ID - Kozlova2020 ER -