scholarly journals The Effect of Sectoral Division on GDP per Capita in the Slovak Republic

2021 ◽  
Vol 24 (1) ◽  
pp. 21-37
Author(s):  
Peter Burger ◽  
Lea Šlampiaková
Keyword(s):  
Granger Causality ◽  
National Economy ◽  
Slovak Republic ◽  
Gdp Per Capita ◽  
Panel Regression ◽  
Real Gdp ◽  
Causality Tests ◽  
Real Gdp Per Capita ◽  
Granger Causality Tests ◽  
Per Capita

The paper aims to analyse the sectoral division of the national economy in the Slovak Republic from various points of view. The authors examine the developmental changes in the number of people employed in different economic sectors (primary, secondary, tertiary, and quaternary) from 1948 to 2018 reflecting the natural development of the economy over that time. In order to do this, they have used a logical and comparative study of theoretical knowledge in accordance with the analysis of empirical data. The descriptive statistics are based on a sample of aggregate data about sectoral division in the Slovak Republic for the period 1948–2018. A cluster analysis on the data of sectoral division in all EU member states in 2010 and in 2017 was carried out in order to obtain a basic overview and opportunity to compare. The main focus of this paper is to examine the impact of sectoral division of the national economy on the Slovak Republic’s real GDP per capita. The research is based on panel regression as well as Granger causality tests on a sample of all 8 Slovak regions between 2001 and 2018. The results of the Granger causality tests show that causality runs one-way from all four sectors to real GDP per capita. Based on this, it is appropriate to carry out panel regression analysis. The results of this analysis suggest that all given sectors in period t−1 have had a significant impact on GDP per capita. In particular, the primary and secondary sectors have both had a relatively significant negative impact while the tertiary and quaternary sectors have had a positive one. It is interesting that the tertiary sector has had a greater positive impact than the quaternary one in the Slovak Republic.

Measuring the Impact of Tourism on Economic Growth

2007 ◽  
Vol 13 (3) ◽  
pp. 379-388 ◽  
Author(s):  
Stanislav Ivanov ◽  
Craig Webster
Keyword(s):  
Economic Growth ◽  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Gdp Per Capita ◽  
Equilibrium Models ◽  
Computable General Equilibrium Models ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
The Impact

This paper presents a methodology for measuring the contribution of tourism to an economy's growth, which is tested with data for Cyprus, Greece and Spain. The authors use the growth of real GDP per capita as a measure of economic growth and disaggregate it into economic growth generated by tourism and economic growth generated by other industries. The methodology is compared with other existing methodologies; namely, Tourism Satellite Account, Computable General Equilibrium models and econometric modelling of economic growth.

EXPORT-GROWTH NEXUS WHILE USING THE BLOCK EXOGENEITY: EMPIRICAL EVIDENCE FROM PAKISTAN

2020 ◽  
Vol 11 (1) ◽  
pp. 25-46
Author(s):  
Zia Ur Rahman
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Time Frame ◽  
Capital Formation ◽  
Gdp Per Capita ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
Import Trade ◽  
Bound Test

The core objective of the study is to analyze the association between export and eco-nomic growth under the consideration of the time frame 1967 to 2017 for Pakistan economy. The review of literature assists to find out the frequently utilize factors are the real GDP per capita, export, import, trade openness, fiscal development and capi-tal formation possible determinants of the economic growth. However, Export Led Growth (ELG) hypothesis is oftenly employed to elaborate the affiliation between ex-port and the growth. Autoregressive distributed lag (ARDL) bound test approach to cointegration accompanied with the structural break and vector auto regressive (VAR) are employed to analysis the long-term association among real GDP per capita, ex-port, import, trade openness, fiscal development and capital formation. The empirical analysis confirms the cointegration among the factors and the ELG hypothesis holds in Pakistan economy. The Block Exogeneity reveals that export and the capital for-mation have strong influence to stimulate the economic growth. While all the other factors have cumulative influence on the growth. Moreover, the impulse response exposes that if the shock of real GDP per capita, import, trade openness, fiscal devel-opment and the capital formation are given to the export, then response of export would be positive in the coming time frame.

The Finnish Economy Through the Prism of the Theory of Long Waves

2016 ◽  
Vol 4 (4) ◽  
pp. 16-22
Author(s):  
Аверина ◽  
Tatyana Averina ◽  
Иванова ◽  
O. Ivanova
Keyword(s):  
Mathematical Modeling ◽  
Business Cycles ◽  
Long Waves ◽  
Gdp Per Capita ◽  
The Third ◽  
Real Gdp ◽  
Long Duration ◽  
Real Gdp Per Capita ◽  
Kondratieff Cycles ◽  
Per Capita

The article presents the research results of Kondratieff cycles in the economy of Finland on the basis of real GDP per capita over the period of 1860–2008 years. The using of economic and mathematical modeling has allowed estimating the power of long duration business cycles, revealing the chronological framework of long waves: the third, fourth and fifth. Kondratieff’s theory has served as a methodological basis for the study of processes: the emergence, the domination and the withering away of technological structures. Regression analysis has allowed establishing the productivity of different technological structures in the Finnish economy.

Utilisation of Direct and Indirect Estimates of Real GDP Per Capita: Implications of the Errors in the Variables Model

1987 ◽  
Vol 97 (386) ◽  
pp. 468 ◽  
Author(s):  
Andrew J. Stollar ◽  
Stephen G. Grubaugh ◽  
G. Rodney Thompson
Keyword(s):  
Gdp Per Capita ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita
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