Proceedings of the International Session on Factors of Regional Extensive Development (FRED 2019)

Labor Productivity Forecasting

Authors
Z.A. Garifullina, R.A. Garifullin
Corresponding Author
Z.A. Garifullina
Available Online January 2020.
DOI
10.2991/fred-19.2020.50How to use a DOI?
Keywords
economics, labor productivity, well construction, economic, mathematical methods, multi-factor model, forecasting
Abstract

The economic and mathematical forecasting methods used in economics allow for determination of quantitative relationships between complex socio-economic, technological and other processes with less time and money. In modern conditions, almost any indicator can be planned using the economic mathematical method. The use of these methods eliminates subjectivism in planning and increases the scientific level of plan's validity. However, the use of these methods requires an exact mathematical description of an economic problem and expert evaluation of the data obtained. The description of the algorithm made it possible to determine the growth of labor productivity and justify growth achievement through the dynamics of selected factors.

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/).

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Volume Title
Proceedings of the International Session on Factors of Regional Extensive Development (FRED 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
January 2020
ISBN
10.2991/fred-19.2020.50
ISSN
2352-5428
DOI
10.2991/fred-19.2020.50How to use a DOI?
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  - Z.A. Garifullina
AU  - R.A. Garifullin
PY  - 2020/01
DA  - 2020/01
TI  - Labor Productivity Forecasting
BT  - Proceedings of the International Session on Factors of Regional Extensive Development (FRED 2019)
PB  - Atlantis Press
SP  - 248
EP  - 251
SN  - 2352-5428
UR  - https://doi.org/10.2991/fred-19.2020.50
DO  - 10.2991/fred-19.2020.50
ID  - Garifullina2020/01
ER  -