The analysis and systematization of methods of an assessment of multiple-factor labor productivity is carried out; the multiple-factor model of measurement of labor productivity in spheres of material and non-material production in system of regional reproduction proportions is constructed.
Keywords: productivity, productivity, labor, model, reproduction, region
Based on the identification of structural and functional characteristics of the performance and productivity of work, taking into account the balanced development of the region reproduction proportions, constructed cognitive map interaction of regional reproduction proportions with the external environment. In the research was carried out expert assessment of the direction of influence factors in the cognitive model predicting the dynamics of reproduction proportions of the region, on the basis of what has been built cognitive simulation model for predicting the dynamics of reproduction proportions region. This model can be used in determining the degree of influence estimation performance and efficiency of work on the system regional reproduction.
Keywords: region, the model, the proportion of reproductive performance, effectiveness, cognitive approach, dynamics, balanced development, efficiency, labor.
The article gives a statistical analysis of women's involvement in scientific research activities, identified the main trends of women's scientific and educational activity. On the basis of statistical array available on the website of Sciences, conducted a gender analysis of the academicians and corresponding members of the Academy of Sciences in quantitative terms and in the spheres of science. Based on the analysis indicated the main factors influencing participation of women in science, the key ones are: the fall of prestige of the profession of the scientist; the wage gap between men and women having equal data; the predominance of women in teaching positions; the phenomenon of the "glass ceiling".
Keywords: gender equality, science, women and men in science, human capital