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Analysis of influence of foreign trade turnover on labor market in Russia according to statistical information

Kozinova A.T. PhD in Technical Sciences, Associate Professor of department "Computer Information System of Financial Calculations", the Nizhny Novgorod State University named after N.I.Lobachevsky ( antonina.kozinova@gmail.com )

Journal: Economic Analysis: Theory and Practice, #30, 2012

In this article, using the statistics of the Federal State Statistics Service of the Russian Federation for 2002-2011 years, and econometric techniques, it is analyzed the impact of Russia's foreign trade on the labor market. Statistically significant models of number change of the population occupied in economy and the unemployed are offered. Forecasts of values of modeled indicators for 2012 are given.


Analysis of influence of per capita average income, consumer price index and imports on retail sales in Russia, using statistical information

Kozinova A.T. Lobachevsky State University of Nizhny Novgorod - National Research University, Nizhny Novgorod, Russian Federation ( antonina.kozinova@gmail.com )

Artamonova T.A. Lobachevsky State University of Nizhny Novgorod - National Research University, Nizhny Novgorod, Russian Federation ( T.A.Artamonova@gmail.com )

Journal: Economic Analysis: Theory and Practice, #19, 2014

The authors analyze influence of indicators of the average monthly nominal and real wage, real disposable cash income per capita, consumer price index and import of goods on the retail trade turnover in Russia. As well, the authors submit statistically significant regression models of a retail trade turnover.


Analysis of influence of foreign trade turnover on average salary in Russia according to statistical information from 1999 to 2011

Kozinova A.T. PhD of Technical sciences, Associate Professor of department "Computer Information System of Financial Calculations", the Nizhny Novgorod State University named after Lobachevsky ( antonina.kozinova@gmail.com )

Journal: Economic Analysis: Theory and Practice, #26, 2012

In this article the analysis of foreign trade turnover impact to an average salary according to statistical information from 1999-2011 via econometric techniques is done. Statistically significant models of nominal and real salary changing, presented as a percentage of the previous period, are suggested by using correlation and regression analysis techniques and taking into account time series structure of data. Calculation results of forecast values of salary in 2012 are presented.


Analysis of interrelations of index of industrial production, investments into fixed capital and foreign trade turnover in Russia according to statistical information

Kozinova A.T. PhD of Technical Sciences, Associate Professor of department "Computer Information Systems Financial Calculations", the Nizhny Novgorod State University named after N.I. Lobachevsky - the National Research University ( antonina.kozinova@gmail.com )

Artamonova T.A. Assistant of department "Finance", the Nizhny Novgorod State University named after N.I. Lobachevsky - the National Research University ( T.A.Artamonova@gmail.com )

Journal: Economic Analysis: Theory and Practice, #45, 2012

Using statistical information of Ross tat for 2002-2011 and econometric methods, authors analyzed the influence on each other macroeconomic indicators: index of industrial production, investments into fixed capital and foreign trade turnover. The models of these indicators presented as a percentage by last quarter are offered.


Evaluating the impact on sustainable development of energy consumption of economic systems

Lyubushin N.P. Voronezh State University, Voronezh, Russian Federation ( lubushinnp@mail.ru )

Babicheva N.E. Voronezh State University, Voronezh, Russian Federation ( sigaeva@mail.ru )

Kozinova A.T. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( antonina.kozinova@gmail.com )

Konyshkov A.S. Voronezh State University, Voronezh, Russian Federation ( Alexey.Konyshkov@atos.net )

Journal: Financial Analytics: Science and Experience, #45, 2016

Importance The article studies an economic aspect of sustainable development by evaluating the efficiency of energy resource use.
Objectives The research identifies trends describing energy capacity of Gross Domestic Product, devises algorithms (models) that determine a type of sustainable development depending on the number and quality of energy consumption, and forecasts whether it would be possible to project a reduction in energy consumption of GDP.
Methods The research applies a comparison method through general and special methods of analysis, synthesis and analogy.
Results The final algorithms (model) helped to find the nexus between the efficiency of energy consumption, type of economic development, and the type of sustainable development. We also determined trends reflecting the energy production, consumption and energy output, thus forecasting whether target imperatives for reduction in energy consumption were feasible.
Conclusions and Relevance Having studied the type of sustainable development, we found out that energy consumption demonstrated both absolute sustainability and crisis in different periods. To attain target indicators for lower energy consumption, it is necessary to change energy production and consumption trends.


Econometric analysis of gross domestic product of Russia and its relations to investment in fixed assets, volume of employment in the economy, and oil and gas production

Kozinova A.T. Lobachevsky State University of Nizhny Novgorod – National Research University, Nizhny Novgorod, Russian Federation ( antonina.kozinova@gmail.com )

Journal: Economic Analysis: Theory and Practice, #2, 2016

Subject The article presents the econometric analysis of macroeconomic indicators of Russia, i.e. gross domestic product, investment in fixed assets, volume of employment in the economy, and oil and gas production.
Objectives The aim is to develop effective models to analyze the gross domestic product of Russia and its relations to macroeconomic indicators.
Methods The study employs correlation and regression analysis of statistical data from Quarter 4, 2003 to Quarter 3, 2014.
Results During the period under consideration, there is a strong direct correlation of GDP trend with trends in the investment in fixed assets and the number of employed in the economy. At the same time, there is a moderate correlation of the GDP trend with trends in oil and gas production. There is a strong direct correlation of seasonal fluctuations of GDP with seasonally adjusted investment in fixed capital and oil production. Meanwhile, there is moderate correlation of seasonally adjusted GDP and the volume of employment in the economy. The correlation of seasonally adjusted GDP and gas production was weak. Based on the correlation analysis results, I offer various models and analyze their quality.
Conclusions Parameters of statistically significant models with factor indicator can be used for quantitative assessment of their impact on GDP. Parameters of models with dummy variables in the crisis component can be used for quantitative assessment of changes in GDP during crises.


The impact of capital investment, number of people employed in the economy and hydrocarbon extraction on sustainable development of industrial production in Russia

Lyubushin N.P. Voronezh State University, Voronezh, Russian Federation ( lubushinnp@mail.ru )

Babicheva N.E. Voronezh State University, Voronezh, Russian Federation ( sigaeva@mail.ru )

Kozinova A.T. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( antonina.kozinova@gmail.com )

Kupryushina O.M. Voronezh State University, Voronezh, Russian Federation ( olgakupryushina@umc.vsu.ru )

Journal: Economic Analysis: Theory and Practice, #11, 2016

Subject The article addresses econometric analysis of relationship of macroeconomic indicators defining the sustainable development of industrial production in Russia, i.e. industrial production index, capital investment, number of people employed in the economy, coal mining, oil and gas production.
Objectives The purpose of the work is to create models of analytical quantification of industrial production index of Russia, taking into account periods of economic turbulence.
Methods We apply correlation and regression methods to analyze statistical data from 2003 through 2015. Dummy indicators are included in the models for quantification of abnormal changes in Russia's industrial production index during periods of economic instability.
Results The quantitative analysis suggests that the elasticity of industrial output is very small (less than 0.1) for capital investment, testifying to low efficiency of investment process; it is higher for oil production as compared with coal and gas, and is indicative of greater dependence of the Russian economy on oil; and it is significantly higher for the number of people employed in the economy as compared with other macroeconomic indicators, and this implies that the physical infrastructure of the country is obsolete.
Conclusions and Relevance The use of dummy indicators in the models enabled to neutralize the impact of periods of economic volatility on the model quality; to evaluate abnormal changes in industrial production index of Russia during crises that are not related to macroeconomic indicators included in the regression function; to predict changes in the industrial production of Russia depending on capital investment, number of people employed and production of hydrocarbons.


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