Electricity supply, employment and real GDP in India: evidence from cointegration and Granger-causality tests

Energy Policy ◽  
2009 ◽  
Vol 37 (8) ◽  
pp. 2926-2929 ◽  
Author(s):  
Sajal Ghosh
Keyword(s):  
Granger Causality ◽  
Electricity Supply ◽  
Real Gdp ◽  
Causality Tests ◽  
Granger Causality Tests

GDP, energy consumption and financial development in Italy

2018 ◽  
Vol 12 (1) ◽  
pp. 28-43 ◽  
Author(s):  
Cosimo Magazzino
Keyword(s):  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Oil Prices ◽  
Content Type ◽  
Real Gdp ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Toda And Yamamoto

Purpose This study aims to explore the relationship among energy consumption, real income, financial development and oil prices in Italy over the period 1960-2014. Design/methodology/approach Different econometric techniques – such as the General Methods of Moment (GMM) or the AutoRegressive Distributed Lags (ARDL) bounds test – are usually used in the empirical analysis. Moreover, both the Toda and Yamamoto causality tests and the Granger causality tests are applied to the data. Findings The results of unit root and stationarity tests show that the variables are non-stationary at levels, but stationary in first-differences form, or I(1). The ARDL bounds F-test reveals an evidence of a long-run relationship among the four variables at 1% significance level. Moreover, an increase in real GDP and oil prices has a significant effect on energy consumption in the long run. The coefficients of estimated error correction term are also negative and statistically significant. In addition, the paper explores the causal relationship between the variables by using a VAR framework, with Toda and Yamamoto but also Granger causality tests, within both multivariate and bivariate systems. The findings indicate that energy consumption is affected by real GDP. Originality/value The study also filled the literature gap of applying ARDL technique to examine this relevant issue for Italy.

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.

scholarly journals Do Operating Profits Induce a Wage Premium Equally Shared among Employees Earning High or Low Incomes?

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Jarle Aarstad ◽  
Olav A. Kvitastein
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Wage Inequality ◽  
Wage Premium ◽  
Wage Increase ◽  
Low Incomes ◽  
Causality Tests ◽  
Granger Causality Tests

Panel data show that between 2001 and 2014 Norwegian industries’ increasing aggregated operating profits per employee increased average wages and wage inequality. The data imply that increasing profits, perhaps unsurprisingly, induce a wage premium. The data further imply that employees earning high incomes at the outset had the highest wage increase percentage-wise. Decreasing operating profits per employee had opposite but less robust effects on average wages and wage inequality. Panel data Granger causality tests finally showed that average wages, but not wage inequality, reversely and positively affect operating profits per employee.

scholarly journals Sars-Cov-2 in Argentina: Lockdown, Mobility, and Contagion

2020 ◽  
Author(s):  
Juan M.C. Larrosa
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Random Effects ◽  
Social Costs ◽  
Political Discussion ◽  
Fixed And Random Effects ◽  
The World ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Over Time

AbstractThere is a debate in Argentina about the effectiveness of mandatory lockdown measures in containing COVID-19 that lasts five months making it one of the longest in the World. The population effort to comply the lockdown has been decreasing over time given the economic and social costs that it entails. We contributes by analyzing the Argentinian case through information of mobility and contagion given answers to recurrent questions on these topics. This paper aims to fill the gap in the literature by assessing the effects of lockdown measures and the regional relaxation on the numbers of rate of new infections. We also respond to issues of internal political discussion on regional contagion and the effect of marches and unexpected crowd events. We use pool, fixed and random effects panel data modeling and Granger causality tests identifying relations between mobility and contagion. Our results show that lockdown in Argentina has been effective in reducing the mobility but not in way that reduces the rate of contagion. Strict lockdown seems to be effective in short periods of time and by extend it without complementary measures loss effectiveness. Contagion rate seems to be discretely displaced in time and resurging amidst slowly increasing in mobility.

scholarly journals Drivers of Greek and Turkish Defense Spending

2016 ◽  
Vol 51 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Grzegorz Waszkiewicz
Keyword(s):  
National Security ◽  
Granger Causality ◽  
Statistical Data ◽  
Causal Relation ◽  
Middle Eastern ◽  
Defense Spending ◽  
Causality Tests ◽  
Military Expenditures ◽  
Granger Causality Tests ◽  
Political Economic

Abstract This paper evaluates the factors responsible for maintaining substantial military expenditures in Greece and Turkey. The presented research encompasses theoretical and empirical aspects. First, defense spending by both countries was analyzed based on statistical data from international sources. Next, the theoretical determinants of budgetary spending are reviewed, which consider political, economic and military factors behind high expenditures on the army in Greece and in Turkey. Finally, Granger causality tests is applied to determine whether a causal relation between variables exists in the case of these two countries. We conclude that defense expenditures in Greece and Turkey exceed the NATO average, but are relatively low relative to those of selected Middle Eastern countries. Our results indicate that high military spending level in Turkey is mainly driven by national security concerns, whereas an economic driver prevails in Greece.

scholarly journals The Trivariate Causality among Education, Health, and Economic Growth in Zimbabwe

2020 ◽  
Vol 12 (4) ◽  
pp. 1357
Author(s):  
Michael Takudzwa Pasara ◽  
Tapiwa Kelvin Mutambirwa ◽  
Nolutho Diko
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Transmission Mechanism ◽  
Feedback Effect ◽  
Health Policies ◽  
Var Model ◽  
Vector Autoregressive ◽  
Education And Health ◽  
Causality Tests ◽  
Granger Causality Tests

This study investigated the causality among education, health, and economic growth in Zimbabwe. Causality effects are a thinly explored area in literature, with most studies focusing on bidirectional relationships. Granger causality tests were employed in a Vector autoregressive (VAR) model. Results showed that education Granger causes health improvements, with health improvements in turn fairly associating to Granger cause economic growth in Zimbabwe. Thus, the effect of education on economic growth is not direct, but works through improved health, pointing to the conclusion that health is a transmission mechanism through which education drives economic growth. No feedback effect was established from health to education and from economic growth to education and health. Thus, results suggest the need for a holistic policy approach which integrates education and health policies in a bid to drive economic growth, since education has no effect on economic growth in its own domain, but through health.

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