Revisiting the Environmental Kuznets Curve in a Global Economy
read more
Citations
How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
Testing environmental Kuznets curve hypothesis: The role of renewable and non-renewable energy consumption and trade in OECD countries
Investigating the environmental Kuznets curve hypothesis in Vietnam
Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis
Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from Quantile ARDL approach
References
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Testing for a Unit Root in Time Series Regression
Bounds testing approaches to the analysis of level relationships
Maximum likelihood estimation and inference on cointegration — with applications to the demand for money
Related Papers (5)
Bounds testing approaches to the analysis of level relationships
An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey
Frequently Asked Questions (17)
Q2. What are the future works mentioned in the paper "Revisiting the environmental kuznets curve in a global economy" ?
For future research, renewable and non-renewable energy sources of energy can be incorporated in neo-classical production to examine the relationship between energy consumption and economic growth following Shahbaz et al. [ 51 ] and Leitão [ 52 ] by incorporating the globalization. Globalization is a potential determinant of economic growth and energy consumption.
Q3. What is the effect of globalization on the environment?
Globalization improves the total factor productivity by increasing trade activity but also boosts economic activity via foreign direct investment and transfer of advanced technology from developed countries to developing nations.
Q4. What is the causality analysis of the EKC hypothesis?
The causality analysis found neutral effect between energy consumption and economic growth, economic growth and CO2 emissions and, energy consumption and CO2 emissions.
Q5. What is the significance of the results?
The results intend that linearand nonlinear terms of real GDP per capita have positive and negative signs (inverted-U shaped relation) on CO2 emissions and are statistically significant at 1% level of significance.
Q6. What is the need of empirical investigation of environmental Kuznets’s curve in Turkey?
There is need of empirical investigation of sectoral environmental Kuznets’s curve in Turkey to improve environmental quality and for sustainable economic development in long run.
Q7. What is the significance of the short run model?
Sensitivity analysis indicates that short run model passes all diagnostic tests i.e. LM test for serial correlation, ARCH test, normality test of residual term, white heteroscedasticity and model specification successfully.
Q8. What is the test used to determine the causality between the variables?
After examining the long run relationship between the variables, the authors use the Grangercausality test to determine the causality between the variables.
Q9. What is the effect of trade openness on environmental quality?
In case of China; Dean, [32] reported that trade openness deteriorates environmental quality via improved terms of trade, however, rise in income saves environment from degradation.
Q10. What is the method to investigate the existence of long run relationship between economic growth, energy intensity?
The authors employ the autoregressive distributed lag (ARDL) bounds testing approach tocointegration developed by Pesaran et al. [44] to explore the existence of long run relationship between economic growth, energy intensity, globalization and CO2 emissions in the presence of structural break.
Q11. What is the effect of inverse term of real income per capita on CO2 emissions?
This shows that a 1% increase in real income per capita is linked with 7.3502% increase in CO2 emissions and inverse effect of squared term of real income per capita indicates the delinking point of CO2 emissions i.e.-0.4332, once an economy achieves threshold level of real income per capita.
Q12. What is the result of the Gregory-Hansen cointegration test?
Table-6 reports the results of GregoryHansen cointegration and the authors find cointegrating single vector once the authors use economic growth, globalization and CO2 emissions as forcing variables.
Q13. How many observations are there in the table?
The results reported in Table-4 noted that lag 2 is sufficient for such small sample data having only 40 observations (see third row of Table-4).
Q14. What is the effect of energy consumption on CO2 emissions?
All else is remaining the same, a 1% increase in energy consumption raises CO2 emissions by 0.7155%which shows that energy consumption is a major contributor to CO2 emissions.
Q15. What is the vecm test for the long run relationship between the variables?
The joint 2 statistic for the first differenced lagged independent variables is used to test thedirection of short-run causality between the variables.
Q16. What tests check the normality of error term, serial correlation, conditional heterosced?
The diagnostics tests check normality of error term, serial correlation, autoregressive conditional heteroscedasticity, white heteroscedasticity and the functional form of empirical model.
Q17. What is the directional relationship between energy intensity, economic growth, globalization and CO2 emissions?
The directional relationship between energy intensity, economic growth, globalization and CO2 emissions will provide help in articulating comprehensive policy to sustain economic growth by controlling environment from degradation and utilizing energy efficient technologies imported from advanced countries.