employee
Tula, Tula, Russian Federation
Tula, Tula, Russian Federation
To assess the impact of production factors on labor productivity in the regions of the Central Federal District, based on cross-regional data, econometric models were built. At the same time, the hypothesis was evaluated that in the process of transition to a post-industrial economy, along with traditional factors, labor productivity is significantly influenced by human capital and new technologies. When performing research, econometric models were obtained in the form of internally linear functions. As a factor of new technologies that determines labor productivity, we used data on the share of innovation costs in the total output of enterprises and organizations in the region. As human capital factors, we used data on the average level of education of employees in the region, which was estimated by the average length of their education in the education system, as well as on the shares of employed workers with different levels of education. The results obtained allow us to conclude that in the regions of the Central Federal District, labor productivity, new technologies in the form of innovation and the human capital of employed workers, measured by the level of education, have a significant positive impact on productivity. The use of labor of workers with higher education and the labor of workers with secondary vocational education who have been trained in training programs for mid-level specialists has a positive impact on labor productivity. Labor productivity is negatively affected by the use of labor of workers with secondary vocational education in training programs for skilled workers and employees, the use of labor of workers with secondary general education, basic general education, who also do not have basic general education.
productivity, regions, determinants of productivity, the level of education, econometric models
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