scholarly journals IMPERATIVES OF LABOUR PRODUCTIVITY RISE IN THE RUSSIAN ECONOMY

Author(s):  
Tatiana Vasilyevna Reshetilo ◽  
Tatiana Vasilyevna Chernova ◽  
Tatiana Sergeyevna Maksimenko ◽  
Irina Nickolaevna Oleynikova

Policy of sustainable growth that aims to foster wellbeing of the population and to develop competitiveness of the Russian economy should strive to achieving quality and quantity standards. The labor productivity index takes the strategic point in the system of analytical indicators of assessing the efficiency of economic activity of all economic entities, regardless of the level of hierarchy (enterprise, region, country). The analysis of conditions determining the influence of various factors on productivity growth in the Russian economy, both around the country and in the regions-subjects of the Russian Federation has been given. The main reasons for the decline of the labor productivity index have been identified as following: deindustrialization having a pronounced regional character; low level of organization of production, sales and innovation management; insufficient level of investment attractiveness of Russian companies along with the restricted access to external sources of financing; high cost of capital in the domestic financial market, limiting the potential for technological modernization and innovative growth. The dominating factors of productivity growth in conditions of innovative economy have been allocated: structural, technical and technological, organizational, managerial factors and the factor of developing innovative culture, which create cumulative effect of implementing the project approach to adoption of innovative decisions and innovations. The imperative of increased productivity growth has revealed the need to increase the welfare of the population as the main goal of economic development, which determines the development of a specific mechanism for its achievement as a priority direction of state economic policy. Investment and innovative components of the state policy generally determine labor productivity growth, transition to a new technological structure of the Russian economy and bridging gaps between Russia and developed countries.

Author(s):  
Leonid Basovskiy

The purpose of the work was to determine the value of labor productivity pro-vided by the fourth, fifth and sixth technological modes. Based on the modeling of Kondratyev's cycles and technological structures in the economic dynamics of devel-oped countries, econometric estimates of labor productivity obtained. It has been estab-lished that during the transition from the fourth to the fifth technological order, the growth of labor productivity in developed countries is ensured from 2.0 to 8.0 times, an average of 4.8 times. In the transition from the fourth to the sixth technological order, the growth of labor productivity in developed countries is ensured from 6 to 17 times, an average of 10.1 times. In the transition from the fifth to the sixth order, the techno-logical order provides an increase in the forgiveness of labor from 1.5 to 3.2 times, on average 2.4 times. In the Russian economy, in the short term, with the transition to the fifth technological order, one can expect productivity growth from 2 to 8 times com-pared to the beginning of the 2000s. In the long term, in the Russian economy during the transition to the sixth technological order, one can expect productivity growth from 6 to 17 times compared to the beginning of the 2000s.


2015 ◽  
pp. 30-61 ◽  
Author(s):  
I. Voskoboynikov ◽  
V. Gimpelson

This study considers the influence of structural change on aggregate labour productivity growth of the Russian economy. The term "structural change" refers to labour reallocation both between industries and between formal and informal segments within an industry. Using Russia KLEMS and official Rosstat data we decompose aggregate labour productivity growth into intra-industry (within) and between industry effects with four alternative methods of the shift-share analysis. All methods provide consistent results and demonstrate that total labour reallocation has been growth enhancing though the informality expansion has had a negative effect. As our study suggests, it is caused by growing variation in productivity levels across industries.


2020 ◽  
Vol 40 (2) ◽  
pp. 243-263
Author(s):  
ANDRÉ NASSIF ◽  
LUCILENE MORANDI ◽  
ELIANE ARAÚJO ◽  
CARMEM FEIJÓ

ABSTRACT The aim of this paper is to discuss the evolution of the Brazilian labour productivity in the 1990s and 2000s to shed some light on the resilience of the Brazilian economy to recover growth. Labor productivity growth in Brazil, after showing positive annual rates between 1950 and 1979, became stagnant after 1980. Following McMillan and Rodrik’s (2011) methodology, this paper at first decompose labor productivity growth in the period 1950-2011, according to “structural change” (which is considered growth-enhancing) and “within effect” (which is growth-reducing, if not accompanied by significant structural change while the country is still pursuing its catching-up process). Next, an econometric exercised is presented to explain the determinants of the structural change component of the labour productivity since economic opening in the 1990s. The results show that the stagnation of the Brazilian productivity is explained by the overvaluation trend of the Brazilian currency, the reprimarization of the export basket, the low degree of Brazil’s trade openness and the high real interest rates prevailing in the period.


2021 ◽  
pp. 31-67
Author(s):  
Yu. V. Simachev ◽  
M. G. Kuzyk ◽  
A. A. Fedyunina ◽  
A. A. Zaytsev ◽  
M. A. Yurevich

The study discusses underlying factors of labor productivity in firms of basic non-resource industries of the Russian economy and considers the role of innovation and investment activity, human capital development, competitive environment and government support. The data is based on the results of a survey of managers of 713 companies in basic non-resource industries (manufacturing, agriculture, transport, construction). We find high level of divergence of firm productivity at the industry level. We show that higher level of productivity is accompanied with investments in human capital, in fixed assets, as well as the use of digital technologies, but we do not find that higher productivity is accompanied by innovations and expenditures on research and development. We show that productivity growth is combined not only with investment, but also with innovative activity (process innovations) and R&D expenditures. The driver of productivity growth is the private sector: the increase in productivity is driven by firms serving the demand of private medium and large companies. Competitive environment is another factor: moderate competition with import (which acts as a stimulus for innovations of Russian companies) is a condition for the productivity growth.


2019 ◽  
Vol 91 ◽  
pp. 08022 ◽  
Author(s):  
Irina Bogatyreva ◽  
Marina Simonova ◽  
Elena Privorotskaya

The article is devoted to the problems of labour productivity increase. It studies trends in labour productivity growth in 12 developed countries and presents a comparative analysis of individual factors that directly affect labour productivity indicators in some European countries as well as the USA and Japan. The article examines and analyzes the reasons for Russia’s lagging behind the developed countries of Europe and the USA in terms of labour productivity; the detailed analysis of the level and dynamics of labour productivity in the Russian economy is given. The authors of the article calculated indicators of labour productivity, indicators of the ratio of the average wage growth rates in the economy of the Samara region. Special attention is paid to the study of organizational and socioeconomic factors of increasing labour productivity in conditions of limited financial resources.


2015 ◽  
Vol 3 (4) ◽  
pp. 37-41
Author(s):  
Басовская ◽  
Elena Basovskaya

A program and methodology of the empirical study of the effect of human capital, science and innovation on productivity and economic growth are exemplified on modern Russian economy. To identify and quantify the impact of factors related to human capital, innovation, science, labor productivity in the country and its regions the author proposes to build econometric models using cross-sectional data of regional statistics. It makes possible to obtain data and forecast sizes of elasticity of labor productivity on the factors connected with the human capital, science and innovations, the country and its regions. This will generate a reasonable economic policy, policy of education and science aimed at economic growth.


2020 ◽  
Vol 12 (13) ◽  
pp. 5342
Author(s):  
Shaohua Zhang ◽  
Tzu-Pu Chang ◽  
Li-Chuan Liao

Since total factor productivity growth plays an essential role in China’s economic growth, the source of this growth has been a critical issue over the past decades. Hence, this paper applies an input slack-based productivity (ISP) index to investigate the contributors (i.e., labor and capital inputs) to China’s total factor productivity growth. The ISP index, combining the features of the directional distance function and Luenberger productivity index, can calculate the productivity change of each input factor under the total factor framework. According to the decomposition analyses, we find that China is confronting a dual challenge in total factor productivity growth: first, capital productivity growth exhibits a remarkable slowdown after the mid-1990s; second, although labor productivity continually expands, the relative labor efficiency among provinces has deteriorated since the 2000s. The results imply that the government should not only advocate upgrading industrial structure, but also consider balanced regional development policies for China’s sustainable growth.


Author(s):  
Tania Kostenko

In recent years, Ukraine has lost its leading position in the global sugar production and export- oriented industry has evolved into an import-dependent one, whose production is concentrated only to meet the needs of the domestic market. Today the Ukrainian sugar is uncompetitive due to the low efficiency of utilization of production capacity and outdated technology. One of the major drawbacks of sugar factories is the lack of incentives to innovate that inhibits productivity growth and development in general. The relevance of the study is the importance of identifying the labor productivity growth factors of sugar factories for catching sector and to improve its competitiveness. The purpose of the article is to conduct an index decomposition analysis of sugar plant’s labor productivity and provide practical recommendations to improve productivity through innovation in sugar industry. A structural logic model of the innovation-driven improvement of labor productivity is proposed.


Author(s):  
Nataliia N. Volkova ◽  
Evelyna I. Romanyuk ◽  
Alexander A. Frenkel

The article is devoted to the problem of analyzing the methodological foundations for assessing the dynamics of labour productivity in the regions of Russia in the context of the digital transformation of the economy. The identification of differences in the level of labour productivity and employment and the influencing factors is a necessary requirement for building a competent regional socio-economic policy in the new institutional conditions. Calculations of labour productivity are carried out by various international and national organizations that use a variety of methods for measuring this indicator. The presence of a sufficiently large number of methods for measuring productivity leads to the fact that each one gives its own result and different dynamics. The authors set the task to consider the existing methodological approaches to calculating labor productivity and to analyze how much they affect the results. The authors statistically tested the hypothesis of heterogeneity of ratings obtained by various methods. The calculations were made on the basis of data from Rosstat for the regions of Russia for the period from 2013 to 2018. To study the uniformity of the series, various statistical criteria were used. The analysis showed that in all years of the period under review the samples are heterogeneous. Consequently, the development of managerial decisions substantially depends on the methodology used to calculate the labour productivity index. The authors concluded that it is necessary to build an index of labour productivity based on regression dependencies on indicators reflecting the main factors affecting regional labor productivity. It helps to get a more effective assessment of regional differences in its level and dynamics. This index should be built for each region taking into account its industry specifics and the level of development of new digital technologies.


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