Factor Model of Labour Productivity in the Coal Mining Industry

0Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

In the article the problem of increasing labour productivity at Russian coal-mining enterprises is considered. The authors note the impossibility of intensive development of the coal industry, the formation and development of effective models of industrial enterprise management without a radical increase in labour productivity, which is an indicator of the level of efficiency of human labour costs in the production of the final product per unit time. On the example of coal enterprises in the Kemerovo region, the authors investigate the dynamics of coal production and the level of labour productivity depending on the method of production: underground or open. The authors justify the need to assess labour productivity on the basis of system analysis and using a multiplicative model. On the example of the Kuzbass coal industry, the authors investigated labour productivity in the context of assessment of influence of major factors such as the introduction of new equipment and mining technologies, the formation of qualified personnel, robotics basic processes of coal mining, introduction of system of quality management and information technologies, etc. Using a multiplicative model evaluation of the labour productivity it's obtained estimates of the influence of these factors on the change in the level of productivity. Thus, the article solves one of the actual problems of today's reality and has considerable theoretical and practical importance.

Cite

CITATION STYLE

APA

Kharlampenkov, E., Kudryashova, I., Zakharova, N., & Loginova, A. (2020). Factor Model of Labour Productivity in the Coal Mining Industry. In E3S Web of Conferences (Vol. 174). EDP Sciences. https://doi.org/10.1051/e3sconf/202017401033

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free