Statistical Modeling of Regional Labor Productivity

Abstract

The article from the perspective of interregional comparative analysis methodology substantiates the system of labor productivity factors and presents the results of statistical modeling of labor productivity in the regions of Russia in 2020.The shortcomings of the existing measures of labor productivity in international and domestic practice are noted, namely, the ambiguity and inconsistency of the assessment results. The authors propose a technique for constructing an integral index of regional labor productivity and substantiate a four-factor econometric model of the dependence of the integral index of regional labor productivity, which allowed for an improved system of labour productivity factors to be applied in regional economic analysis. Estimates are given of the relative impact of both traditional and new factors of regional labor productivity, which are the increasing incidence rate and the growing share of unprofitable enterprises (organizations), investments and industrial output per capita in the regions of Russia in 2020.The need to monitor regional labor productivity factors annually to help bring forward problems in the regions is justified. The reasons that led to the insufficient level of labour productivity (compared to Russian average) were identified. According to the authors (following the results of socio-economic development in 2020), they should include low growth rates of investment and production volumes, as well as an increase in the incidence and in the share of unprofitable enterprises and organizations.