TRENDS AND PROSPECTS OF DEVELOPMENT OF THE METALLURGICAL INDUSTRY BASED ON REGRESSIONAL ANALYSIS

The article analyzes the dependence of production volumes on the number of labor resources. The purpose of the study is to establish the relationship between the two conditioned arguments and based on this dependence to assess the future development. Based on existing data on sectoral production volumes and the number of employees in the metallurgical industry, a regression analysis was performed. Namely, a linear form of dependence is established, a regression function in the form of a mathematical equation is determined, and unknown values of the dependent variable are estimated. As a result of the analysis, a trend line was built for the projected production volume. As a result of the analysis, the dependence between the volume of production and the number of labor resources is established. This allowed the authors to assume that the decrease in the number of labor resources in a certain way affects the increase in production volumes. This phenomenon is due to the high level of automation of processes in modern metallurgy. In this regard, even though the number of employees is decreasing, the volume of production will increase, which indicates the need to expand the scale of automation of production processes in the Russian metallurgy. Such a view will be of interest to specialists in the field of labor resources assessment, since the indicators of the economic efficiency of measures to rationalize jobs are the relative reduction in the number of employees, including their full release, increase in labor productivity, and savings from lower costs of products (works, services). All this is achieved due to labor saving, reduction in the number of jobs, the release of equipment and floor space, an increase in capital productivity and equipment shift ratio, as well as the quality of products, work, services, an increase in the number of jobs upgraded to the highest degree of progressive requirements, and the number of employees, employed in such jobs.

metallurgical industry, regression analysis, trend, labor resources, production volume, linear model, forecasting, automation, increased productivity, correlation.

Stoyanova M. V., Brom A. E., Snigur A. R. Trends and prospects of development of the metallurgical industry based on regressional analysis. Business. Education. Law, 2020, no. 4, pp. 41–45. DOI: 10.25683/VOLBI.2020.53.455.