Productivity of New Technological Ways in Economy of Russia

2016 ◽  
Vol 4 (2) ◽  
pp. 9-15 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Econometric Models ◽  
Per Capita Gdp ◽  
Russian Economy ◽  
National Production ◽  
Per Capita ◽  
Modern Russian

The purpose of this study was to obtain estimates of the economic dissemination of new technological structures in the Russian economy. Construction of econometric models of the contribution of technological structures in the shower US GDP allowed establishing their productivity. On this basis, we obtained estimates of the contribution of new — the fifth and sixth technological structures in the per capita GDP of Russia. It was found that in today’s Russia is not less than 40–45% of the national production is ensured by the new — the fifth and sixth technological structures. These economic assessments of the spread of new technological structures in modern Russian economy allow improving economic policies aimed at developing the country’s economy.

Forecasting the Transition of the Economy of the Russian Federation to the Dominance of the Fifth Techno-Economic Paradigm

2018 ◽  
Vol 5 (6) ◽  
pp. 10-14
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Татьяна Аверина ◽  
Tatyana Averina ◽  
Елена Басовская ◽  
...  
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Econometric Models ◽  
Development Trends ◽  
Per Capita Gdp ◽  
Russian Economy ◽  
Economic Paradigm ◽  
The Russian Federation ◽  
Per Capita ◽  
Regions Of Russia

The purpose of the work was to assess the timing of the transition of the Russian economy and the economy of individual regions of Russia to the dominance of the fifth techno-economic paradigm. The contribution of the fifth technical and economic paradigm in the per capita GDP is given. Based on econometric models of economic dynamics, the time of the beginning of the domination of the fifth techno-economic paradigm in the economy of regions is estimated. The economy of individual regions has already passed to the domination of the fifth technoeconomic paradigm. In the economy of a large part of the regions, the transition to the dominance of the fifth techno-economic paradigm can expected many years and decades hence. Estimates of the expected timeframe for the transition to the dominance of the fifth techno-economic paradigm are received, based on the assumption of the preservation of economic development trends in 2001–2015.

New Technological Ways in the Regions of Russia

2016 ◽  
Vol 4 (4) ◽  
pp. 27-32 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Policy ◽  
Econometric Models ◽  
Way Of Life ◽  
Russian Economy ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Kondratieff Cycles ◽  
Per Capita ◽  
The Uk ◽  
Post Industrial

Distribution of new — the fifth and sixth technological ways in economy of regions of Russia is investigated. For economic evaluation of technological structures hysterical time series of real per capita GDP of Great Britain are used. Construction of econometric models of cyclical trends has allowed establishing the date of the beginning of the upward half-waves of the fourth and fifth Kondratieff cycles. For the construction of econometric models of technological structures was assumed that the beginning of upward half-waves cycles coincide with the beginning of the upward wave of new orders, since the beginning of the dominance of another way of life and a torque of the withering away of the old order. We used piecewise linear model orders. By the simulation it was found, that the relic and fourth technological orders provide a contribution to real GDP per capita value of 4000 Gehry-Hemis dollars in 1990. The contribution of the new — the fifth and sixth in the Russian economy is estimated as the excess of the value of real per capita GDP over the contribution of relic and fourth technological structures, evaluated according to the UK. This has allowed for the first time to give an economic assessment of the contribution of new orders in the Russian economy. It now has exceeded 50%. By degree of distribution of new ways in the groups of regions is irregular. The regional group in the economy where new ways are not observed, the economic policy directed to the continued industrialization. In the regions, where new ways make contribution to the economies, economic policy should focus on the development of post-industrial economies.

Prospects and Opportunities for New Techno-Economic Paradigms — New Technological Modes

2018 ◽  
Vol 6 (1) ◽  
pp. 4-11
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Development ◽  
Harmonic Component ◽  
Developed Countries ◽  
Econometric Models ◽  
Per Capita Gdp ◽  
The Real ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Per Capita ◽  
Regions Of Russia

The model of long-term technical and economic development of industrial and post-industrial economic systems is constructed. The system consists of several subsystems existing simultaneously. Each new subsystem, embodying a new technical and economic mode, provides a higher level of per capita income. The transition to each new stage of technical and economic development — the transition to the predominance, the dominance of the technical and economic paradigm, and the beginning of the spread of a new technical and economic paradigm occurs at the moment when the upward half-wave of the Kondratiev cycle begins to form. To establish the moments of the onset of the upward halfwaves of Kondratiev cycles and the timing of the start of the spread of new techno-economic modes, econometric models of real per capita GDP in developed countries, including a smooth and cyclic (harmonic) component, were constructed. The average duration of the third cycle in these countries was 51.9 years, the fourth cycle — 49.8 years. Because of the construction of econometric models, it was possible to evaluate the productivity of relic, fourth, fifth and sixth technical and economic paradigms in developed countries. The average value of the maximum productivity of the fourth techno-economic mode was 2594 Geri-Hemis $ 1990, the fifth — 12,245 Geri-Hemis $ 1990, the sixth — 25 374 Geri-Hemis $ 1990. The average contribution to the real per capita GDP of relict modes and the fourth mode in the period of its domination was 5004 Geri-Hemis $ 1990, which corresponds to the value of 161,379 rubles. 2008. The excess of this value in Russia provided isdue to the spread of the fifth technical and economic mode. Its significant contribution to the real per capita GDP of the country began to observe since 2001 and by 2015 reached 47%. Modeling the period of the contribution of the fifth paradigm to Russia’s per capita GDP made it possible to predict the transition to its dominance in 2040. The forecast of the transition to the domination of the fifth mode in the regions of Russia is to include this time from 2010 to 2200. Construction of production functions based on data on per capita GRP over the years made it possible to establish that investment in fixed assets and an increase in the share of employed persons with a higher education can accelerate the spread of the fifth techno-economic mode and have received estimates of their effectiveness in the regions of Russia. A feature of the regions in which new modes did not receive proliferation was the low capitalization of new fixed assets and the increased number of employees of territorial bodies of federal executive bodies.

scholarly journals Sugarcane ethanol industry effects on the GDP per capita in the Center-South region of Brazil

2017 ◽  
Vol 15 (2) ◽  
pp. 183-200
Author(s):  
Carlos Eduardo Caldarelli ◽  
Márcia Azanha Ferraz Dias De Moraes ◽  
Pietro André Telatin Paschoalino
Keyword(s):  
Federal District ◽  
Econometric Models ◽  
Gdp Per Capita ◽  
Panel Data Models ◽  
Mato Grosso ◽  
Industry Effects ◽  
Per Capita Gdp ◽  
Demand Growth ◽  
Per Capita ◽  
Mato Grosso Do Sul

The demand growth for biofuels worldwide led to a significant increase in the Brazilian sugarcane ethanol industry from the 2000’s. This scenario affected specially the Center-South region of Brazil, which comprises the states of São Paulo, Paraná, Minas Gerais, Mato Grosso do Sul, Mato Grosso, and Goiás, as well as the Federal District of Brasília, because it surpasses all other regions of the country in terms of the production and production facilities. Therefore, the aim of this study is to quantify the sugarcane ethanol industry effects on the per capita municipal gross domestic product (GDP) in the Center-South region of Brazil, for the 2000-2012 period. To that end, we estimated two econometric models, using panel data models and quantile regression. The results show that sugar ethanol industry has an important effect on GDP per capita for the Center-South region municipalities, furthermore the effects are more intensive on the lowest municipalities levels of the per capita GDP, thus being able to provide support for making public policy.

Kondratieff Cycles in the Economies of Italy, the Netherlands, Germany and France

2015 ◽  
Vol 3 (6) ◽  
pp. 26-35 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Иванова ◽  
O. Ivanova ◽  
Басовская ◽  
...  
Keyword(s):  
The Netherlands ◽  
Econometric Models ◽  
The Third ◽  
Half Wave ◽  
Cyclical Component ◽  
Kondratieff Cycles ◽  
National Production ◽  
Per Capita ◽  
The 19Th Century ◽  
Historical Periods

The paper concerns identifying Kondratieff cycles in the economies of Italy, the Netherlands, Germany and France. Studied are the historical periods beginning from the second half of the 19th century based on time series of real per capita GDP. The study is made through construction of econometric models, including the cyclical component. Modeling has helped to identify Kondratieff cycles in the national production. The upward half-wave of the third Kondratieff cycle in Italy emerged in 1897, in the Netherlands — in 1910, in Germany — in 1885, in France — in 1881. The upward half-wave of the fourth Kondratieff cycle emerged in Italy in 1948, in the Netherlands — in 1946, in Germany — in 1958, and in France — in 1855. The upward half-wave of the fifth Kondratieff cycle emerged in Italy in 1989, in the Netherlands — in 1990, in Germany — in 1999, and in France — in 1994.

Kondratieff Waves and Technological Modes in Australia`s Economy

2016 ◽  
Vol 4 (5) ◽  
pp. 40-47 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina
Keyword(s):  
Time Series ◽  
Per Capita Gdp ◽  
The Third ◽  
Maximum Productivity ◽  
Russian Economy ◽  
Kondratieff Cycles ◽  
Per Capita ◽  
Xix Century ◽  
Technological Mode ◽  
Fourth Mode

The article presents the results of the analysis of Australia`s economic dynamics in order to determine the time of beginning of Kondratieff waves and origin of new technological modes and their productivity. The regression analysis of the time series of Australia real per capita GDP for the period from 1820 to 2008 allowed to determine the date of beginning of the third, fourth and fifth half-waves of Kondratieff cycles and the date of origin of the fourth, fifth and sixth technological modes in Australia`s economy. The results of the analysis showed that the origin of the fourth technological mode in Australia`s economy occurred in the late XIX century, the fifth — in the 1950s, the sixth — in the late XX century. The modeling of technological modes` productivity allowed determining the productivity of relict and modern technological modes in the economy of Australia. The results showed that the productivity of relict modes in Australia`s economy is 3465 Gehry-Hemis dollars 1990. The maximum productivity of the fourth mode is 4437 Gehry-Hemis dollars 1990, the fifth — 8874 Gehry-Hemis dollars 1990. The maximum productivity of the sixth mode in the economy of Australia is 26 888 Gehry-Hemis dollars 1990. The results of the research may be used in order to evaluate the productivity of modern technological modes in Russian economy.

The Main Factors of Production of the Fifth and Sixth Techno-Economic Paradigms in Modern Russia

2016 ◽  
Vol 4 (5) ◽  
pp. 36-39 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Per Capita Gdp ◽  
Russian Economy ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Main Factors ◽  
Per Capita ◽  
Factors Of Production

The purpose of this study was to obtain estimates of the spread of the new techno-economic paradigm in the Russian economy and the identification of factors of production of new paradigms. We used econometric estimates of the productivity of technical and economic paradigms. It is possible to determine the contribution of the new — the fifth and sixth paradigms in per capita GDP of Russia. In today’s economy a significant part of Russian per capita income — Not less than 220–240 thousand rubles, provided by the fifth and sixth paradigms. The main factors determining the contribution to 84% of new paradigms in per capita GDP, are new technologies and human capital. New technologies are implemented through the use of new fixed assets. The corresponding five and six paradigms of human capital measured by the share of employed workers with higher education.

International differences in labor productivity: Role of capital, technological level and resource rent

2016 ◽  
pp. 67-93 ◽  
Author(s):  
A. Zaytsev
Keyword(s):  
Labor Productivity ◽  
Developed Countries ◽  
Resource Rent ◽  
Per Capita Gdp ◽  
Technological Level ◽  
Per Capita ◽  
Oil Sector ◽  
Population Ratio ◽  
Gdp Gap ◽  
Productivity Gap

Using level accounting methodology this article examines sources of per capita GDP and labor productivity differences between Russia and developed and developing countries. It considers the role played by the following determinants in per capita GDP gap: per hour labor productivity, number of hours worked per worker and labor-population ratio. It is shown that labor productivity difference is the main reason of Russia’s lagging behind. Factors of Russia’s low labor productivity are then estimated. It is found that 33-39% of 2.5-5-times labor productivity gap (estimated for non-oil sector) between Russia and developed countries (US, Canada, Germany, Norway) is explained by lower capital-to-labor ratio and the latter 58-65% of the gap is due to lower technological level (multifactor productivity). Human capital level in Russia is almost the same as in developed countries, so it explains only 2-4% of labor productivity gap.

The Reproduction Vector of the Russian Economy: 1999-2007

2008 ◽  
pp. 94-109 ◽  
Author(s):  
D. Sorokin
Keyword(s):  
Economic Policy ◽  
Human Capital ◽  
Growth Rates ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Real Sector ◽  
Russian Economy ◽  
Per Capita ◽  
The Developed Countries

The problem of the Russian economy’s growth rates is considered in the article in the context of Russia’s backwardness regarding GDP per capita in comparison with the developed countries. The author stresses the urgency of modernization of the real sector of the economy and the recovery of the country’s human capital. For reaching these goals short- or mid-term programs are not sufficient. Economic policy needs a long-term (15-20 years) strategy, otherwise Russia will be condemned to economic inertia and multiplying structural disproportions.

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