scholarly journals Economic and statistical analyses of labor productivity growth at russian industrial enterprises: Key factors

2021 ◽  
Vol 11 (2) ◽  
pp. 6-23
Author(s):  
P. A. Mikhnenko

Increasing labor productivity (LP) is an actual task of the Russian economy and management of enterprises. Today, the country has a growing productivity gap between the most efficient and lagging companies. The aim of the study is to identify the key factors which determine the magnitude and growth rate of this indicator in the interests of revealing promising areas and ways of managing its growth. The paper describes the analysis of financial and economic indicators that are factors of sustainable growth in LP at domestic industrial enterprises, leading in this indicator in the period 2017–2019. The methodological basis has been the provisions of the production factors and productivity theories. The research method is based on the theorem of statistical hypotheses. The object of this research has been 94 Russian leading companies in terms of LP growth under reviewing period. An economic and statistical model of LP growth factors has been developed and the conditional probabilities of hypotheses have been calculated that characterize the ranges of growth of this indicator upon the occurrence of events corresponding to an increase in the values of financial and economic indicators. The key factors and the ranges of their change are highlighted for four ranges of the productivity rate: small, moderate, high and record. It is shown that the determining factors of a low rate are a revenue growth in the range from –23 to 57%, a decrease in the duration of an operating cycle to –7% and a growth in asset turnover up to 37%. The factors of the record rate of LP growth are revenue gain in the range 97–297%; operating cycle reduction in the range from –42 to –88% and the turnover of assets gain in the range 114–342%. The capital-labor ratio gain is considered with low probability as a factor of the moderate or high LP gain in combination with an increase in revenue and asset turnover. High correlation of the operating cycle reduction and increase the asset turnover can serve as an indicator of LP increase programs success. The proposed approach allowed to identify significant factors of LP growth at leading companies that had not been obvious during applying a regression analysis.

2021 ◽  
pp. 404-413
Author(s):  
Ekaterina Dmitrievna Myagotina ◽  
Ilona Vladimirovna Tregub

In modern conditions, the problem of determining the factors infl uencing such indicators of economic growth as the volume of consumption, the volume of investments in the economy, government spending and GDP can be solved by applying economic, mathematical, econometric modeling. In this article, to solve this problem of determining the key factors, it was decided to use the Samuelson — Hicks econometric model for a closed economy. This allows not only to identify the key factors that have a signifi cant impact on the development of the economy of the country under study, but also to make forecasts of such development. The article discusses the application of the Samuelson — Hicks model in modern conditions on the example of the economic indicators of Bhutan. After conducting this study, we concluded that although this model is not an ideal one for further investigation of the closed economy of Bhutan, the quality of the specifi cation of this model should be recognized as high. In this regard, the Samuelson — Hicks model can be used to make managerial decisions at the macroeconomic level. The conclusions obtained in the course of this study can be used to modernize this econometric model, as well as to make eff ective decisions to stimulate the development of a certain share of a closed economy.


2013 ◽  
Vol 59 (No. 12) ◽  
pp. 551-562
Author(s):  
J. Lososová ◽  
R. Zdeněk

The aim of the paper is to assess the situation and development of Czech agriculture by the production and economic ratios of a sample of farms. The development is evaluated using a database of farms from the Czech Republic since 2000, divided by the share of land included in the LFA. The year 2011 revealed a significant improvement in economic indicators over the previous year. A positive profit appeared in 95% of enterprises and economic results approached the results of 2007. An important trend is the reduction in the number of workers, when in 2011 the number of workers was equal to 70% to that in 2000, while labour productivity is increasing annually by an average of 7%. In the structure of production, the average farm revealed a revenue growth of crop production, the revenue from livestock production was declining, although the opposite trend appeared in mountain areas. In all categories of farms, there is a growing dependence on subsidies. Although the year 2011 was the second most productive since 2000, the profit after deducting subsidies was reached by 13% of farms only.


2020 ◽  
Vol 80 (3) ◽  
pp. 437-451
Author(s):  
Maoyong Zheng ◽  
Cesar L. Escalante

PurposeThis is a comparative study of the nature of operating decisions made by agricultural and non-agricultural banks, affecting their actual growth plans in the years around and during the Great Recession of 2008. The main empirical question is whether banks under greater economic stress shortly before, during, and immediately after the recession made deliberate adjustments in their growth decisions vis-à-vis predetermined sustainable levels.Design/methodology/approachHiggins' sustainable growth challenge is employed to evaluate banks' growth decisions involving four growth levers (profitability, earnings retention, asset management, and financial leverage). Actual growth trends are related to business growth rates deemed sustainable given available financial capability as prescribed by Higgins' model.FindingsBoth banking groups made cautious growth decisions during the sample period. Actual growth rates were below sustainable levels. Agricultural banks registered steadily increasing sustainable growth rates from the pre-recession years until the recovery period, while non-agricultural banks were more constrained to grow given their declining sustainable growth levels. Notably, agricultural banks showed relatively more aggressiveness in raising slightly actual revenue growth to levels much closer to sustainable levels. This could have resulted from their less volatile profit margin trends and usual pressure to maintain acceptable liquidity conditions in order to gain access to external funds.Originality/valueThis study presents an additional application of Higgins' model to agricultural finance. The comparative analysis of banking groups becomes even more relevant these days as recent economic discussions focus on indicators of an imminent recessionary period.


2021 ◽  
pp. 15-45
Author(s):  
S. Aukutsionek ◽  
A. Batyaeva ◽  
N. Dyomina ◽  
A. Egorov ◽  
A. Matveev

Industrial indexes of the Russian Economic Barometer cover a wide range of economic indicators of Russia’s industrial enterprises. The article presents the basic statistical data collected on a monthly, quarterly and semi-annual base by the Russian Economic Barometer through direct surveys of industrial enterprises’ managers. Regular extension of rows allows to consider the dynamics of more than 100 series of indicators, to conduct a comparative analysis of data collected since 1991.


2020 ◽  
pp. 148-157
Author(s):  
Matvey Oborin

The purpose of this article is to identify the ways to improve food security in the Southern Federal District. Food security of the country is provided by regions that have a high potential for sustainable growth in quantitative and qualitative indicators of agricultural production, formation of sustainable forms of regional and interstate strategic cooperation on a mutually beneficial basis. The scientific and theoretical foundations of food security in papers of domestic and foreign scientists are analyzed, and the features of strategic directions for the achievement of self-sufficiency in basic food products are determined. The difference in approaches and specific features of the social and economic development of Russia and the natural and climatic potential that influences the formation of agricultural specialization are determined. The study uses general logical research methods, the systematic and situational approach, the analysis of agricultural statistics of the Southern Federal District. The article provides a detailed analysis of indicators of agricultural production in the regions of the Southern Federal District, identifies trends and directions of the development of the crop and livestock industries. The article provides a detailed analysis of the indicators of agricultural production in the regions of the Southern Federal District, identifies trends and directions in the development of the crop and livestock industries. The features of the leading districts that should become the basis of the agricultural strategy in the long term period are revealed. A system of measures that contribute to the improvement of food security in the Southern Federal District has been identified and the methods for their solution have been suggested. The main measure is government support, subsidizing and stimulation of the innovation process. The re-equipment of specialized industrial enterprises should be carried out at a high pace in the conditions of agri-food clusters and network interaction. The analysis of agricultural indicators of the district allows us to draw conclusions about the sufficient level of food security in several regions of the Southern Federal District which have high indicators of quantitative production and ensure a high level of consumption within the region, as well as allow increasing the export of certain product categories. Further development of scientific research in this area should be associated with the formation of areas for project financing of the agro-industrial complex and agriculture in the field of technological modernization, personnel policy, the acquisition of new management and production competencies, and the strengthening of the scientific potential of the crop and livestock industries.


Author(s):  
Elena P. Solodova ◽  
Vladimir N. Lazarev

The article examines the innovative activity parameters of industrial enterprises in the Russian Federation, studies the main development trends. The dynamics of the main indicators of industrial organizations subdivisions carrying out research and development are presented and the main types of applied innovations are identified. Also, the costs of technological innovations and the sources of their financing were analyzed within this studys framework. The main reasons for the decline in industrial enterprises innovative activity are listed. In addition, the main trends influencing the development of industrial enterprises were presented. The directions of improving the innovative activities management system of industrial enterprises are grounded on the basis of the project approach use. The general characteristics and properties inherent in an innovation and a project are presented. Domestic enterprises awareness of project management prospects will contribute to their sustainable growth and innovation activity indicators improvement.


2021 ◽  
pp. 24-55
Author(s):  
S. Aukutsionek ◽  
A. Batyaeva ◽  
N. Dyomina ◽  
A. Egorov ◽  
A. Matveev

Industrial indexes of the Russian Economic Barometer cover a wide range of economic indicators of Russia’s industrial enterprises. The article presents the basic statistical data collected on a monthly, quarterly and semi-annual base by the Russian Economic Barometer through direct surveys of industrial enterprises’ managers. Regular extension of rows allows to consider the dynamics of more than 100 series of indicators, to conduct a comparative analysis of data collected since 1991.


2021 ◽  
pp. 22-53
Author(s):  
S. Aukutsionek ◽  
A. Batyaeva ◽  
N. Dyomina ◽  
A. Egorov ◽  
A. Matveev

Industrial indexes of the Russian Economic Barometer cover a wide range of economic indicators of Russia’s industrial enterprises. The article presents the basic statistical data collected on a monthly, quarterly and semi-annual base by the Russian Economic Barometer through direct surveys of industrial enterprises’ managers. Regular extension of rows allows to consider the dynamics of more than 100 series of indicators, to conduct a comparative analysis of data collected since 1991.


Sign in / Sign up

Export Citation Format

Share Document