Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: The role of biomass energy consumption in the United States

This paper re-examines the specification of the environmental Kuznets curve (EKC) for the US economy by accounting for the presence of a major renewable energy source and trade openness over the period 1960–2016. Biomass energy consumption and trade openness as well as oil prices are considered as additional determinants of economic growth, and consequentially of CO₂ emissions. The bounds testing approach to cointegration is used to examine the long-run relationship between the variables in the presence of structural breaks. The causal relationship between the variables is investigated by applying the VECM Granger causality test and accommodating structural breaks. The results confirm the presence of cointegration between the variables. Moreover, the relationship between economic growth and CO₂ emissions is not only inverted-U shaped but also N-shaped in the presence of structural breaks and biomass. Biomass energy consumption lowers CO₂ emissions. Exports, imports and trade openness are also environment-friendly. The causality analysis underscores a feedback effect between biomass energy consumption and CO₂ emissions. Economic growth still Granger causes CO₂ emissions in this new setup.     

The long-run and causal analysis of energy,growth, openness and financial development on carbon emissions in Turkey

The aim of this paper is to examine the causal relationship between financial development, trade, economic growth, energy consumption and carbon emissions in Turkey for the 1960–2007 period. The bounds F‐test for cointegration test yields evidence of a long-run relationship between per capita carbon emissions, per capita energy consumption, per capita real income, the square of per capita real income, openness and financial development. The results show that an increase in foreign trade to GDP ratio results an increase in per capita carbon emissions and financial development variable has no significant effect on per capita carbon emissions in the long- run. These results also support the validity of EKC hypothesis in the Turkish economy. It means that the level of CO₂ emissions initially increases with income, until it reaches its stabilization point, then it declines in Turkey. In addition, the paper explores causal relationship between the variables by using error-correction based Granger causality models.     

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.     

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.     

Environmental degradation,economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia

This paper tests for the short and long-run relationship between economic growth, carbon dioxide (CO₂) emissions and energy consumption, using the Environmental Kuznets Curve (EKC) by employing both the aggregated and disaggregated energy consumption data in Malaysia for the period 1980–2009. The Autoregressive Distributed Lag (ARDL) methodology and Johansen–Juselius maximum likelihood approach were used to test the cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM), to test for causality. The study does not support an inverted U-shaped relationship (EKC) when aggregated energy consumption data was used. When data was disaggregated based on different energy sources such as oil, coal, gas and electricity, the study does show evidences of the EKC hypothesis. The long-run Granger causality test shows that there is bi-directional causality between economic growth and CO₂ emissions, with coal, gas, electricity and oil consumption. This suggests that decreasing energy consumption such as coal, gas, electricity and oil appears to be an effective way to control CO₂ emissions but simultaneously will hinder economic growth. Thus suitable policies related to the efficient consumption of energy resources and consumption of renewable sources are required.     

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.     

On the relationships between CO2 emissions,energy consumption and income: The importance of time variation

The environment that governs the relationships between energy consumption, carbon dioxide (CO₂) emissions and gross domestic product (GDP) in the G7 countries changes over time due to variations in economic growth, regulatory policy and technology. Using a novel approach that may detect causalities when the time-constant hypothesis is rejected, we find significant time-varying Granger causalities among the variables under consideration. There is bidirectional causality between GDP and energy consumption for Japan, unidirectional causality running from GDP to energy consumption for Italy, and unidirectional causality running from energy consumption to GDP for the resource country Canada. Moreover, the results also show a bidirectional time-varying causality between energy consumption and CO₂ emissions for the United States, and causality from energy consumption to CO₂ emissions for France. Finally, while we find significant time-varying causalities running from GDP to CO₂ emissions for Italy and Japan, the finding of inverted N-shaped curves (Italy and Japan) lends no support to the traditional Environmental Kuznets Curve (EKC) hypothesis for these countries. It implies that environmental policy and economic growth should go hand in hand. Other policy implications of the empirical results have been proposed.     

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.     

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.     

Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels

This paper explores the relationship between trade openness and CO₂ emissions by incorporating economic growth as an additional and potential determinant of this relationship for three groups of 105 high, middle and low income countries. We apply the Pedroni (1999) and Westerlund (2007) panel cointegration tests and find that the three variables are cointegrated in the long run. Trade openness impedes environmental quality for the global, high income, middle and low income panels but the impact varies in these diverse groups of countries. The panel VECM causality results highlight a feedback effect between trade openness and carbon emissions at the global level and the middle income countries but trade openness Granger causes CO₂ emissions for the high income and low income countries. Policy implications are also provided.     

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.     

Dynamic relationship between CO2 emissions,energy consumption and economic growth in three North African countries

This paper investigated the causal relationship between energy consumption (EC), carbon dioxide (CO₂) emissions and economic growth for three selected North African countries. It uses a panel co-integration analysis to determine this econometric relationship using data during 1980–2012. Recently developed tests for panel unit root and co-integration tests are applied. In order to test the Granger causality, a panel Vector Error Correction Model is used. The conservation hypothesis is found; the short run panel results show that there is a unidirectional relationship from economic growth to EC. In addition, there is a unidirectional causality running from economic growth to CO₂ emissions. A unidirectional relationship from EC to CO₂ emissions is detected. Findings shown that there is a big interdependence between EC and economic growth in the long run, which indicates the level of economic activity and EC mutually influence each other in that a high level of economic growth leads to a high level of EC and vice versa. Similarly, a unidirectional causal relationship from EC to CO₂ emissions is detected. This study opens up new insights for policy-makers to design comprehensive economic, energy and environmental policy to keep the economic green and a sustainable environment, implying that these three variables could play an important role in the adjustment process as the system changes from the long run equilibrium.     

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.     

The impact of energy consumption and economic development on Ecological Footprint and CO2 emissions: Evidence from a Markov Switching Equilibrium Correction Model

Reducing the impact of air pollution and global environmental degradation on human health and quality of life for Qatari citizens represents the most important objective of the Qatar National vision 2030. With respect to this vision, this study investigates the effects of economic growth, energy consumption, trade openness, urbanization and financial development on environmental degradation by using the Markov Switching Equilibrium Correction Model with shifts in both the intercept and income per capita slope for the period 1970–2015. Unlike existing studies and in addition to the CO₂ emissions pollutant, this paper uses the total Ecological Footprint and Ecological Carbon Footprint as new proxies of environmental degradation.Empirical results show strong evidence for cointegration with Markov shifts. In particular, our results show that the non-control for breaks can hide the true relationship among variables. The results show also that when controlling for breaks the Environment Kuznets curve (EKC) hypothesis holds for the  CO₂ emissions and Ecological carbon Footprint pollutants and the U-shaped behavior holds for the total Ecological Footprint. Moreover, the results show that these two behaviors (EKC and U-shaped) are regime dependent. Regarding the other explanatory variables, the results show that trade openness and urbanization worsen Ecological Footprint. However, the electricity consumption and financial development are positively related to the Ecological Footprint and negatively related to Ecological Carbon Footprint and CO₂ emissions. Finally, we found evidence for the growth hypothesis for both pollutants. Based on these results, a detailed economic, energy and environmental policy is proposed and discussed for the case of Qatar.     

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 emission and economic growth in Algeria

Algeria is one of the most important CO₂ emitters among developing countries and the third among African countries. It pledged to curb carbon emissions by at least 7% by 2030. However, complying with this target may be a difficult task without compromising economic growth. The aim of this paper is to analyze the relationship between CO₂ emissions and economic growth in Algeria, taking into account energy use, electricity consumption, exports and imports. The validity of the EKC hypothesis, throughout the period from 1970 to 2010, is tested by using the Autoregressive Distributed Lag model extended to introduce the break points. Results confirm the EKC for Algeria. Nevertheless, the turning point is reached for a very high GDP per capita value, indicating that economic growth in Algeria will continue to increase emissions. Results also indicate that an increase in energy use and electricity consumption increase CO₂ emissions, and that exports and imports affect them negatively and positively, respectively. Therefore, it is necessary to promote renewable energies and energy efficiency policies. Regulatory reforms are needed to facilitate foreign investments with which to carry out these policies. Likewise, it may be appropriate to decrease subsides in energy prices to encourage energy efficiency.     

Empirical study on the environmental Kuznets curve for CO2 in France: The role of nuclear energy

This paper attempts to estimate the environmental Kuznets curve (EKC) in the case of France by taking the role of nuclear energy in electricity production into account. We adopt the autoregressive distributed lag (ARDL) approach to cointegration as the estimation method. Additionally, we examine the stability of the estimated models and investigate the Granger causality relationships between the variables in the system. The results from our estimation provide evidence supporting the EKC hypothesis, and the estimated models are shown to be stable over the sample period. The uni-direction running from other variables to CO₂ emissions are confirmed from the casualty tests. Specifically, the uni-directional causality relationship running from nuclear energy to CO₂ emissions statistically provides evidence on the important role of nuclear energy in reducing CO₂ emissions.     

The pollution concern in the era of globalization: Do the contribution of foreign direct investment and trade openness matter?

This analysis aims to treat the contribution of the foreign direct investment inflows and trade openness to environmental degradation. Drawing on the data for 27 African countries over the period from 1990 to 2013, we develop an empirical model based on a set of panel methods. This approach includes Westerlund (2007) panel cointegration technic, Common Correlated Effects Mean Group (CCE-MG) estimation procedure, and the Granger causality test. In terms of long-term causality, our findings reveal bidirectional long-term causality between CO₂/NO_x emissions, GDP, trade openness, and foreign direct investment. Besides, in the short-run, the results recorded a unidirectional causality running from GDP to CO₂, and from FDI to CO₂. However, bidirectional causality nexus was detected between trade openness and CO₂. Additionally, the findings portray bidirectional causality between GDP and NO_x and between trade openness and NO_x, while a unidirectional causality from foreign direct investment to NO_x. Our analysis substantiates the importance of the foreign direct investment inflows and trade openness in mitigating the adverse effect of heavy pollutant activities and resolving the environmental puzzle (growing without polluting) consistent with the Millennium Development Goals (MGDs) of the UN background.     

Output,renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries

This paper uses panel cointegration techniques to examine the causal relationship between output, renewable and non-renewable energy consumption, and international trade for a sample of 69 countries during the period 1980–2010. In the short-run, Granger causality tests show that there is a bidirectional causality between output and trade (exports or imports), a bidirectional causality between non-renewable energy and trade, and a one way causality running from renewable energy to trade. In the long-run, a bidirectional causality between renewable energy and trade, is noticed. Our long-run ordinary least squares (OLS), fully modified OLS (FMOLS) and dynamic OLS (DOLS) estimates suggest that renewable, non-renewable energy consumption and trade have a positive and statistically significant impact on economic growth. Our energy policy recommendations are the following: i) any non-renewable energy policy should take into account the importance of international trade, ii) more renewable energy use should be encouraged by national and international competent authorities in order to increase international economic exchanges and promote economic growth without harming the environment, and iii) increasing trade is a good vehicle for renewable energy technology transfer and contributes to increase renewable energy consumption in the long-run, thus contributing to reducing greenhouse gas emissions.     

Causal relationship between trade openness,economic growth and energy consumption: A panel data analysis of Asian countries

This paper explores the causal relationship between economic growth, trade openness and energy consumption using data of 15 Asian countries. The study covers the period of 1980–2011. We have applied panel cointegration and causality approaches to examine the long-run and causal relationship between variables.Empirical results confirm the presence of cointegration between variables. The impact of economic growth and trade openness on energy consumption is found to be positive. The panel Granger causality analysis reveals the bidirectional causality between economic growth and energy consumption, trade openness and energy consumption.