Kondratieff Cycles in Developed Economies

2015 ◽  
Vol 3 (5) ◽  
pp. 9-13 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy

The objective of this paper is to identify Kondratieff cycles in the developed economies. Time series spectral analysis of real per capita GDP of the developed countries and Brazil is performed. Also studied are time series for the period from the 19th century to 2008. As a result Kondratieff cycles (waves) are found out in the economic dynamics of all the countries surveyed, except for Finland. The power of Kondratieff cycles in the economic dynamics is estimated to fall in the range of 23 to 61% of the total power of all economic cycles with the periods of 2 to 100 years. The Kondratieff cycles can be found in a number of economies in the period of 19th — 20th centuries. It allows to distinguish the three moderntime Kondratieff waves in the said countries and to evaluate productivity of the fourth, the fifth and the sixth technological modes in their economies. However in a number of countries the Kondratieff cycles show up only in the 20th century. So for these countries only one or two modern Kondratieff waves can be clearly identified, making it possible to evaluate productivity of only the fifth and the sixth technological modes in their economies.

2015 ◽  
Vol 3 (3) ◽  
pp. 37-47 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina

The article presents the results of the analysis of Australia`s economic dynamics in order to identify Kondratiev waves (cycles). The analysis of the time series of real per capita GDP for the period from 1820 to 2008 had revealed the presence of cycles of economic dynamics with a period of about 50 years, which can be identified as Kondratieff cycles (waves). The results of the analysis showed that the formation of Kondratieff cycles in the Australian economy occurred in the late XIX — early XX century. The maximum value of these cycles` potency was reached in the middle of XX century, then their potency began to fall. The results of the research may be used in order to determine the time of beginning of these cycles and correlation between Kondratieff cycles and dominant technological modes.


2013 ◽  
pp. 4-33 ◽  
Author(s):  
A. Klepach ◽  
G. Kuranov

The article describes the methodology for identifying and analyzing economic cycles, which are based on historical spectral approach that combines the advantages of the historical and economic analysis and spectral method of the study of economic series. The proposed approach is used to isolate and analyze both their own regular fluctuations of economic dynamics inherent in the developed economies and the vibrations induced by technological and external economic shocks. The analysis has been carried out on the basis of data on the dynamics of the post-war U.S. economy as the main driver of world cycles, and of Russia’s economy from 1861 to 2012 using the latest research on the reconstruction of the time-series of its economic dynamics. Finally, conclusions are drawn in relation to the state economic policy in the conditions of the global cyclical development.


2016 ◽  
Vol 4 (5) ◽  
pp. 40-47 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina

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.


2012 ◽  
Vol 616-618 ◽  
pp. 1512-1515
Author(s):  
Wei Hua Du

Take for example the BRIC economies: Brazil, Russia, India and China. We investigated the time series data on the relationship between carbon dioxide emission and economic growth in these fast-growing developing countries by both comparative statics and comparative dynamics. The results show that there is the monotonic relationship between total carbon dioxide emissions, carbon dioxide emissions per capita and per capita GDP in any one of the BRIC countries. And there is decreasing relationship between the carbon dioxide emissions per unit GDP and per capita GDP.


2019 ◽  
Vol 79 (2) ◽  
pp. 477-506 ◽  
Author(s):  
Nuno Palma ◽  
Jaime Reis

We construct the first time-series for Portugal’s per capita GDP for 1527–1850, drawing on a new database. Starting in the early 1630s there was a highly persistent upward trend which accelerated after 1710 and peaked 40 years later. At that point, per capita income was high by European standards, though behind the most advanced Western European economies. But as the second half of the eighteenth century unfolded, a phase of economic decline was initiated. This continued into the nineteenth century, and by 1850 per capita incomes were not different from what they had been in the early 1530s.


2014 ◽  
Vol 12 (3) ◽  
pp. 257
Author(s):  
Oi Lin Cheung

<p>This study investigates how the overall innovative environment will affect the economic growth of a place, in particular, a state. Using the Innovation Index and its component indexes as a measure of the innovative environment prevailing in the states, it is found that the more innovative a state is, the higher its per capita real GDP and per capita personal income are. These relations are statistically significant. The higher per capita personal income is associated with both the availability of human capital for innovative activities and the presence of the economic dynamics that facilitate those activities. At the same time, the higher per capita real GDP has been brought about by the availability of such human capital only.</p>


Economical ◽  
2020 ◽  
Vol 1 (1(22)) ◽  
pp. 115-131
Author(s):  
Ірина Кладченко ◽  

Improving of the methodological tools for the national economies behavior’s forecasting in the context of increasing the validity and analytical characteristics of state economic strategies in conditions of high volatility, lack of trend stability and non-stationary dynamics of external and internal socio-economic processes by implementing interdisciplinary methods of Fourier analysis and their adaptation to the specifics of the socio-economic systems’ functioning and development. Methodology. The forecasting’s targeting as an important independent stage in the process of analytical assessment of the balance of development is performed on the basis of structuring, division into stages, systematization, and grouping. Justification of the interdisciplinary approach for forecasting of national economic system’s development is carried out by methods of analysis and synthesis, comparison and practical testing. Establishment of the economic dynamics’ structural regularities and forecasting of a trajectory of national economy development are executed by harmonic and spectral analysis of the dynamic systems’ fluctuating processes. The results. The paper’s attention is focused on the specific features of macroeconomic dynamics’ time series as a basis for the forecasting of national economies development, namely their short duration, non-stationary, aperiodic, polyharmonic and their impact on the formation of adequate methodological support for forecasting. The possibility and efficiency of spectral and harmonic methods using for analysis oscillating processes of national economic system’s development are substantiated. A harmonic model of Ukraine's economic development’s trajectory during 1991-2020 is formed, which allowed to analyze the fluctuating component of the macroeconomic indicators’ dynamics on the basis of actual data that included all the initial information contained in the time series. By distinguishing economic cycles, their amplitude-frequency characteristics, the current phase of Ukrainian economy’s development is characterized. On the basis of the economic dynamics’ model, being used the indicator of annual GDP growth, forecasting is executed and short-term, average-term and long-term tendencies Ukraine’s economy’s development are established. Scientific novelty. The extending of theoretical and methodological tools for forecasting of main trends in national economies, based on harmonic and spectral analysis, is allowed to form a structural approach to the analysis of economic dynamics in the context of selection of its decisive harmonics and basing on their characteristics to make conclusions about the current level and projected national economic systems’ development. Practical significance. The adapted and regulated procedure of harmonic and spectral analysis of socio-economic systems’ oscillating processes became the basis for forecasting the level, rates and proportions of national economic systems development.


Author(s):  
Juan Gabriel Brida ◽  
David Matesanz Gómez ◽  
Verónica Segarra

The aim of this paper is to analyze the dynamic relationship between economic growth and CO2 emissions for a set of 98 countries over the lengthy period from 1951 to 2014. We describe the topology and hierarchy of countries and introduce a different concept of economic performance based on the idea of dynamic regimes. These regimes are defined by the average levels of per-capita CO2 emissions and the growth rates of per-capita GDP. By presenting a nonparametric clustering technique, the paper identifies two main groups. One cluster can be identified as the group of developed countries, which presents a homogeneous structure and tends toward more similar dynamics over time. The other cluster, associated with developing countries, is homogeneous but the dynamics of the countries do not show convergence. The study also finds some, though little, mobility between the groups.


2015 ◽  
Vol 3 (4) ◽  
pp. 14-20
Author(s):  
Шишкин ◽  
Andrey Shishkin

The work is focused around the analysis of formation of Kondratiev cycles from1870 to 2008. This research is directed on data acquisition on the possibility of formation of long cycles on the basis of the spectral analysis of deviations from a trend of GDP per-capita time series. The conducted research resulted in notion that fifty-year cycles of Kondratiev had the greatest power during practically all research period. it was Also established that from the middle of the XX century to the 1960s the power of Kondratiev cycleshad increased. The only segment of research time series on which there is no domination of the cycles is 1870–1969. The research can give the chance to compare the tendency of Kondratievcycles to increase in power and formation of technological waves in the economy of Brazil.


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