The Results of the Research of Cycles of the Australian Economic Dynamics

2015 ◽  
Vol 3 (3) ◽  
pp. 37-47 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina
Keyword(s):  
Time Series ◽  
Economic Dynamics ◽  
Per Capita Gdp ◽  
Maximum Value ◽  
Australian Economy ◽  
Kondratieff Cycles ◽  
Per Capita

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.

Kondratieff Cycles in Developed Economies

2015 ◽  
Vol 3 (5) ◽  
pp. 9-13 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Total Power ◽  
Economic Dynamics ◽  
Per Capita Gdp ◽  
Economic Cycles ◽  
Developed Economies ◽  
Kondratieff Cycles ◽  
Per Capita ◽  
The 19Th Century

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.

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.

Comparative Study on BRIC Carbon Dioxide Emissions - Econometric Empirical Test Based on Cross-Century Time Series Data

2012 ◽  
Vol 616-618 ◽  
pp. 1512-1515
Author(s):  
Wei Hua Du
Keyword(s):  
Carbon Dioxide ◽  
Time Series ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Comparative Statics ◽  
Total Carbon ◽  
Series Data ◽  
Per Capita Gdp ◽  
Bric Countries ◽  
Per Capita

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.

scholarly journals From Convergence to Divergence: Portuguese Economic Growth, 1527–1850

2019 ◽  
Vol 79 (2) ◽  
pp. 477-506 ◽  
Author(s):  
Nuno Palma ◽  
Jaime Reis
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Eighteenth Century ◽  
Economic Decline ◽  
Upward Trend ◽  
Per Capita Gdp ◽  
Per Capita ◽  
European Standards ◽  
European Economies ◽  
First Time

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.

scholarly journals Impact Of Innovative Environment On Economic Growth: An Examination Of State Per Capita GDP And Personal Income

2014 ◽  
Vol 12 (3) ◽  
pp. 257
Author(s):  
Oi Lin Cheung
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Personal Income ◽  
Economic Dynamics ◽  
Per Capita Gdp ◽  
Real Gdp ◽  
Innovative Environment ◽  
Per Capita ◽  
Capita Personal Income

<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>

The dynamics of CO2 emissions and economic growth: A comparative analysis using symbolic time series

2021 ◽  
Author(s):  
Juan Gabriel Brida ◽  
David Matesanz Gómez ◽  
Verónica Segarra
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Performance ◽  
Developed Countries ◽  
The Other ◽  
Per Capita Gdp ◽  
Dynamic Relationship ◽  
Nonparametric Clustering ◽  
Per Capita ◽  
Over Time

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.

The Results of the Research of Kondratiev Waves in Economies of Greece and Portugal

2016 ◽  
Vol 4 (1) ◽  
pp. 50-56 ◽  
Author(s):  
Левкина ◽  
Nataliya Levkina
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Gdp Per Capita ◽  
Economic Dynamics ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Greek Economy ◽  
Per Capita ◽  
Technological Mode ◽  
Of Greece

The article presents the results of the analysis of Greek and Portuguese economic dynamics in order to identify Kondratiev waves, to divide them into periods, and to determine the point of originating ofnew technological modes. in Greek economy,the analysis of the time series of real GDP per capita for 1913–2008 revealed the presence of economic dynamics’cycles with a period of approximately 50 years, which can be identified as Kondratiev cycles (waves).The regression analysis of the time series of Greek and Portuguese real GDP per capita allowed to determine the date of beginning of the fourth and fifth half-waves of Kondratiev cycles and the date of origin of the fifth and sixth technological modes in Greek and Portuguese economies. The obtained results of the analysis showed that the origin of the fifth technological mode in both economies occurred in the 1950s, the sixth — in the late XX century. The results of the research may be used in order to construct models of technological modes’ productivity in Greece and Portugal.

scholarly journals Per Capita GDP Prediction Research of Shanghai Bases on Time Series Analysis

2016 ◽  
Vol 05 (03) ◽  
pp. 410-417
Author(s):  
伟 单
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Per Capita Gdp ◽  
Series Analysis ◽  
Per Capita
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