Econometric Analysis of Labor Productivity Factors in Healthcare of the Russian Federation

For a long time search of resources and sources for increase of labor productivity is a priority direction in activity of public authorities of all levels and important scientific problem in the field of economy and management. In domestic scientific thought there is a noticeable lack of knowledge in the designated area of research in relation to health care institutions. At the same time in the works of foreign authors it is possible to find numerous examples of the analysis of influence of various factors on the medical personnel productivity. Guided by this premise, the purpose of the present study was to evaluate the statistical dependence, as well as the closeness and directions of the relationship between the labor productivity indicator and the individual factors, influencing this indicator in the Russian health care in the period from 2010 to 2020. To achieve the goal of the study, the authors used the literature data presented in the works of domestic and foreign authors, as well as information of Rosstat in the sections “Healthcare of Russia” and “National Accounts of Russia”. Correlation and regression analyses were performed using the cross-platform software package for econometric analysis Gretl. When developing the econometric model, the least squares method (LSM) with observance of the mandatory Gauss-Markov condition was used. In the course of the conducted research, the relationship between labor productivity, calculated by the cost method, and individual factors, which have a different degree of impact on this indicator, was shown. A strong direct statistically significant relationship between this indicator, consolidated budget expenditures and the volume of investment in fixed capital has been proved. It is shown that labor productivity in health care in the period under study tended to grow, which took place against the background of annual reduction in the number of medical personnel, which may indicate a shortage of staff and the increase in labor intensity. The obtained results can be demanded by healthcare management bodies to improve the performance of medical organizations.

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