The development of a forecast model of labour productivity management at industrial enterprises
- DOI
- 10.2991/sicni-18.2019.20How to use a DOI?
- Keywords
- labour productivity, investment tools, new industrialization, econometric modelling
- Abstract
The article gives the analysis of the applicability of the concepts "labour productivity" and "productivity of an economic system" at different stages of creating added value in the new industrialization. The main tools for managing productivity have been identified and those that can be applied in short term and with minimal costs by identifying internal production reserves have been selected. The structuring of short-term and long-term goals of increasing labour productivity has been carried out, and tools for managing labour productivity that are effective in short term have been proposed. On the basis of the study of the level and dynamics of labour productivity at some enterprises of the machine-building complex of Samara region and with the use of economic and statistical methods of analysis, namely, time series analysis, index method and factor analysis forecast tools have been developed. The constructed econometric model of the correlation dependence of labour productivity on the capital productivity index has a high degree of approximation and can be recommended as a model for forecasting labour productivity at industrial enterprises. This is especially important when developing a strategy for the transition to digital industrialization.
- Copyright
- © 2019, 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 - Evgeniya Repina AU - Marina Simonova AU - Elena Sukhanova PY - 2019/01 DA - 2019/01 TI - The development of a forecast model of labour productivity management at industrial enterprises BT - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018) PB - Atlantis Press SP - 102 EP - 105 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.20 DO - 10.2991/sicni-18.2019.20 ID - Repina2019/01 ER -