The relationship between pollutant emissions,renewable energy,nuclear energy and GDP: empirical evidence from 18 developed and developing countries

This document investigates the causal relationship between nuclear energy (NE), pollutant emissions (CO₂ emissions), gross domestic product (GDP) and renewable energy (RE) using dynamic panel data models for a global panel consisting of 18 countries (developed and developing) covering the 1990–2013 period. Our results indicate that there is a co-integration between variables. The unit root test suggests that all the variables are stationary in first differences. The paper further examines the link using the Granger causality analysis of vector error correction model, which indicates a unidirectional relationship running from GDP per capita to pollutant emissions for the developed and developing countries. However, there is a unidirectional causality from GDP per capita to RE in the short and long run. This finding confirms the conservation hypothesis. Similarly, there is no causality between NE and GDP per capita.     

CO2 emissions,energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models

This paper examines the nexus between CO₂ emissions, energy consumption and economic growth using simultaneous-equations models with panel data of 14 MENA countries over the period 1990–2011. Our empirical results show that there exists a bidirectional causal relationship between energy consumption and economic growth. However, the results support the occurrence of unidirectional causality from energy consumption to CO₂ emissions without any feedback effects, and there exists a bidirectional causal relationship between economic growth and CO₂ emissions for the region as a whole. The study suggests that environmental and energy policies should recognize the differences in the nexus between energy consumption and economic growth in order to maintain sustainable economic growth in the MENA region.     

Biomass energy,technological progress and the environmental Kuznets curve: Evidence from selected European countries

We examine the causal relationship between economic growth and CO₂ emissions in a panel of 24 European countries from 1980 to 2010. Using an analytical framework that considers pooled mean group estimations in a dynamic heterogeneous panel setting, we show that there is an inverted U-shaped relationship between CO₂ emissions and economic growth in the long run and that there is no such relationship in the short run. In particular, we find that biomass energy is insignificantly linked to CO₂ emission. However, technological innovation significantly facilitates reduction of CO₂ emissions in the investigated countries. Altogether, our study implies that economic growth and environmental quality can be achieved simultaneously, which opens up new insights for policy-makers for sustainable economic development via implementation of renewable energy consumption through technological innovation.     

The relationship between CO2 emissions,energy consumption and economic growth in Italy

This study examines the relationship between CO₂ emissions, energy consumption and economic growth in Italy over the period 1970–2006. Results of unit root tests show that all variables are non-stationary in their level form, but stationary in first differences form. The causal relationship between variables is examined using causality test in a vector autoregressive framework. Our empirical results show that CO₂ emissions, energy consumption and economic growth are not cointegrated. Moreover, the Toda and Yamamoto Granger non-causality test shows a bidirectional causality between CO₂ emissions and economic growth, as well as between CO₂ emissions and energy consumption. Forecast error variance decompositions evidence that the errors in real per capita GDP are mainly due to uncertainty in GDP itself, while the errors in predicting the energy consumption and the CO₂ emissions are sensitive to disturbances in the other two equations.     

Economic growth,energy consumption and CO2 emissions in India: a disaggregated causal analysis

This study examines the long-run and short-run causal relationships among energy consumption, real gross domestic product (GDP) and CO₂ emissions using aggregate and disaggregate (sectoral) energy consumption measures utilising annual data from 1971 to 2011. The autoregressive distributed lag bounds test reveals that there is a long-run relationship among the variables concerned at both aggregate and disaggregate levels. The Toda–Yamamoto causality tests, however, reveal that the long-run as well short-run causal relationship among the variables is not uniform across sectors. The weight of evidences of the study indicates that there is short-run causality from electricity consumption to economic growth, and to CO₂ emissions. The results suggest that India should take appropriate cautious steps to sustain high growth rate and at the same time to control emissions of CO₂. Further, energy and environmental policies should acknowledge the sectoral differences in the relationship between energy consumption and real gross domestic product.     

Environmental Kuznets Curve hypothesis in Pakistan: Cointegration and Granger causality

The paper is an effort to fill the gap in the energy literature with a comprehensive country study of Pakistan. We investigate the relationship between CO₂ emissions, energy consumption, economic growth and trade openness in Pakistan over the period of 1971–2009. Bounds test for cointegration and Granger causality approach are employed for the empirical analysis. The result suggests that there exists a long-run relationship among the variables and the Environmental Kuznets Curve (EKC) hypothesis is supported. The significant existence of EKC shows the country's effort to condense CO₂ emissions and indicates certain achievement of controlling environmental degradation in Pakistan. Furthermore, we find a one-way causal relationship running from economic growth to CO₂ emissions. Energy consumption increases CO₂ emissions both in the short and long runs. Trade openness reduces CO₂ emissions in the long run but it is insignificant in the short run. In addition, the change of CO₂ emissions from short run to the long span of time is corrected by about 10% yearly.     

Financial development,environmental quality,trade and economic growth: What causes what in MENA countries

This paper examines the relationship between financial development, CO₂ emissions, trade and economic growth using simultaneous-equation panel data models for a panel of 12 MENA countries over the period 1990–2011. Our results indicate that there is evidence of bidirectional causality between CO₂ emissions and economic growth. Economic growth and trade openness are interrelated i.e., bidirectional causality. Feedback hypothesis is validated between trade openness and financial development. Neutrality hypothesis is identified between CO₂ emissions and financial development. Unidirectional causality running from financial development to economic growth and from trade openness to CO₂ emissions is identified. Our empirical results also verified the existence of environmental Kuznets curve. These empirical insights are of particular interest to policymakers as they help build sound economic policies to sustain economic development and to improve the environmental quality.     

Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries

This paper addresses the impact of both economic growth and financial development on environmental degradation using a panel cointegration technique for the period between 1980 and 2007, except for Russia (1992-2007). In long-run equilibrium, CO₂ emissions appear to be energy consumption elastic and FDI inelastic, and the results seem to support the Environmental Kuznets Curve (EKC) hypothesis. The causality results indicate that there exists strong bidirectional causality between emissions and FDI and unidirectional strong causality running from output to FDI. The evidence seems to support the pollution haven and both the halo and scale effects. Therefore, in attracting FDI, developing countries should strictly examine the qualifications for foreign investment or to promote environmental protection through the coordinated know-how and technological transfer with foreign companies to avoid environmental damage. Additionally, there exists strong output-emissions and output-energy consumption bidirectional causality, while there is unidirectional strong causality running from energy consumption to emissions. Overall, the method of managing both energy demand and FDI and increasing both investment in the energy supply and energy efficiency to reduce CO₂ emissions and without compromising the country’s competitiveness can be adopted by energy-dependent BRIC countries.     

CO2 emissions,electricity consumption and output in ASEAN

This study examines the causal relationship between carbon dioxide emissions, electricity consumption and economic growth within a panel vector error correction model for five ASEAN countries over the period 1980–2006. The long-run estimates indicate that there is a statistically significant positive association between electricity consumption and emissions and a non-linear relationship between emissions and real output, consistent with the environmental Kuznets curve. The long-run estimates, however, do not indicate the direction of causality between the variables. The results from the Granger causality tests suggest that in the long-run there is unidirectional Granger causality running from electricity consumption and emissions to economic growth. The results also point to unidirectional Granger causality running from emissions to electricity consumption in the short-run.     

Oil consumption, CO2 emission and economic growth in MENA countries

This study examines the impact of oil consumption on the economic growth of the MENA countries during the period 1980–2009. The panel model is employed in this study. Based on the cointegration test results, it was found that CO₂ emission, and oil consumption has a long run relationship with economic growth. Moreover, there is also a bi-directional Granger causality between oil consumption, CO₂ emission and economic growth in both the short run and the long run. The results of this study show clearly that oil consumption plays an important role in the economic growth of the MENA countries.     

The dynamic impact of renewable energy consumption and financial development on CO2 emissions: For selected African countries

This empirical study examines the impact of economic growth, renewable energy, energy consumption, financial developments, trade openness, and urbanization growth on CO₂ emissions using the Pooled Mean Group (PMG) approach and Granger Causality in the EKC model a data set of 25 African countries over the period 1985–2015. The results showed that increases in renewable energy consumption and trade openness decrease CO₂ emissions, and the EKC hypothesis is supported for the African countries. Granger’s causality results indicated the presence of bidirectional causality between economic growth and financial development and CO₂ emissions. These results could support policymakers manage financial development and consider clean investments and other ecological aspects for sustainable urban development. The causality tests showed a unidirectional causality running from renewable energy consumption to CO₂ emissions in African countries.     

Electricity consumption,CO2 emission,and economic growth in the Middle East

This study examines the impact of electricity consumption on the economic growth in the Middle East countries during the period 1990–2008. The panel model is used in this study. Based on the cointegration test results, it is found that CO₂ emission and electricity consumption have a long-run relationship with economic growth. Moreover, there is also a bi-directional Granger causality between electricity consumption, CO₂ emission, and economic growth in both the short run and the long run. The results of this study show clearly that electricity consumption plays an important role in the economic growth of the Middle East countries.     

Panel estimation for CO2 emissions,energy consumption,economic growth,trade openness and urbanization of newly industrialized countries

This paper empirically examines the dynamic causal relationships between carbon dioxide emissions, energy consumption, economic growth, trade openness and urbanization for the panel of newly industrialized countries (NIC) using the time series data for the period 1971–2007. Using four different panel unit root tests it is found that all panel variables are integrated of order 1. From the Johansen Fisher panel cointegration test it is found that there is a cointegration vector among the variables. The Granger causality test results support that there is no evidence of long-run causal relationship, but there is unidirectional short-run causal relationship from economic growth and trade openness to carbon dioxide emissions, from economic growth to energy consumption, from trade openness to economic growth, from urbanization to economic growth and from trade openness to urbanization. It is found that the long-run elasticity of carbon dioxide emissions with respect to energy consumption (1.2189) is higher than short run elasticity of 0.5984. This indicates that over time higher energy consumption in the newly industrialized countries gives rise to more carbon dioxide emissions as a result our environment will be polluted more. But in respect of economic growth, trade openness and urbanization the environmental quality is found to be normal good in the long-run.     

Environment Kuznets curve for CO2 emissions: A cointegration analysis for China

This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975–2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO₂ emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) methodology is employed for empirical analysis. A quadratic relationship between income and CO₂ emission has been found for the sample period, supporting EKC relationship. The results of Granger causality tests indicate one way causality runs through economic growth to CO₂ emissions. The results of this study also indicate that the carbon emissions are mainly determined by income and energy consumption in the long run. Trade has a positive but statistically insignificant impact on CO₂ emissions.     

CO2 emissions,nuclear energy,renewable energy and economic growth in the US

This study explores the causal relationship between carbon dioxide (CO₂) emissions, renewable and nuclear energy consumption and real GDP for the US for the period 1960–2007. Using a modified version of the Granger causality test, we found a unidirectional causality running from nuclear energy consumption to CO₂ emissions without feedback but no causality running from renewable energy to CO₂ emissions. The econometric evidence seems to suggest that nuclear energy consumption can help to mitigate CO₂ emissions, but so far, renewable energy consumption has not reached a level where it can make a significant contribution to emissions reduction.     

CO2 emissions,energy consumption and economic growth in China: A panel data analysis

This paper examines the causal relationships between carbon dioxide emissions, energy consumption and real economic output using panel cointegration and panel vector error correction modeling techniques based on the panel data for 28 provinces in China over the period 1995–2007. Our empirical results show that CO₂ emissions, energy consumption and economic growth have appeared to be cointegrated. Moreover, there exists bidirectional causality between CO₂ emissions and energy consumption, and also between energy consumption and economic growth. It has also been found that energy consumption and economic growth are the long-run causes for CO₂ emissions and CO₂ emissions and economic growth are the long-run causes for energy consumption. The results indicate that China's CO₂ emissions will not decrease in a long period of time and reducing CO₂ emissions may handicap China's economic growth to some degree. Some policy implications of the empirical results have finally been proposed.     

The effect of renewable energy and urbanization on CO2 emissions: A panel data

Europe has experienced fast-paced urbanization development over the past three decades. This paper empirically investigates the long-run equilibrium relationships and causal relationships among urbanization, renewable energy consumption, and CO₂ emissions, and this is important for EU countries’ future sustainable development. DOLS and FMOLS approaches are used for the period 1992–2014 .

Granger causality results show that there is a unidirectional relationship from CO₂ emissions to urbanization, and there is no causality between renewable energy consumption and CO₂ emissions. The results have important implications for EU policymakers on the path toward a sustainable society. Urbanization can have negative impacts on the natural environment with the net effect being hard in EU countries.     

The relationship between CO2 emissions and economic growth: The case of Korea with nonlinear evidence

Using STAR models, we investigate the nonlinear dynamic properties and the interdependence of CO₂ emissions and economic growth for Korea. The estimation results indicate that the growth rate of both CO₂ emissions and industrial production exhibit a significant nonlinear asymmetric dynamics. While the linear Granger causality test finds no causality in any direction, the results of the nonlinear Granger causality tests show a two-way causality between CO₂ emissions and economic growth. The strong mutual causation between CO₂ emissions and economic activities indicates that the economic impact from CO₂ mitigation is expected to be higher in Korea. This suggests that the appropriate energy and environmental policy be to mitigate CO₂ emissions while having less impact on the economy.     

CO2 emissions,energy usage,and output in Central America

This study extends the recent work of Ang (2007) [Ang, J.B., 2007. CO₂ emissions, energy consumption, and output in France. Energy Policy 35, 4772–4778] in examining the causal relationship between carbon dioxide emissions, energy consumption, and output within a panel vector error correction model for six Central American countries over the period 1971–2004. In long-run equilibrium energy consumption has a positive and statistically significant impact on emissions while real output exhibits the inverted U-shape pattern associated with the Environmental Kuznets Curve (EKC) hypothesis. The short-run dynamics indicate unidirectional causality from energy consumption and real output, respectively, to emissions along with bidirectional causality between energy consumption and real output. In the long-run there appears to be bidirectional causality between energy consumption and emissions.     

CO2 emissions,energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach

We re-examine the relationship between CO2 emissions, energy consumption (EC) and economic growth (GDP) for the five main Association of Southeast Asian Nations (ASEAN-5) countries over the period 1980–2016. Our main contention is that the findings in previous studies that have examined the relationship between CO2, EC and GDP in the ASEAN-5 are biased because they fail to account for cross-sectional dependence (CD). We show that conventional tests applied to our dataset suggest a misleading conclusion about the Environmental Kuznets Curve (EKC) and Granger causal relationship between CO2, EC and GDP in the presence of CD. When we apply a new panel test of Granger non-causality that addresses CD and heterogeneity, we find considerable heterogeneity. We find unidirectional Granger causality running from GDP to CO2 for Malaysia, the Philippines, Singapore and Thailand; unidirectional causality running from GDP to EC in Indonesia, Malaysia and Thailand; unidirectional causality running from EC to GDP in Singapore and bidirectional causality between GDP and EC in the Philippines. We also find support for the EKC hypothesis for the ASEAN-5 countries.