The emissions,energy consumption,and growth nexus: Evidence from the commonwealth of independent states

This study examines the causal relationship between carbon dioxide emissions, energy consumption, and real output within a panel vector error correction model for eleven countries of the Commonwealth of Independent States over the period 1992–2004. In the long-run, energy consumption has a positive and statistically significant impact on carbon dioxide emissions while real output follows an 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 carbon dioxide 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 carbon dioxide emissions.     

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.     

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.     

An econometric study of CO2 emissions,energy consumption,income and foreign trade in Turkey

This study attempts to empirically examine the dynamic causal relationships between carbon emissions, energy consumption, income, and foreign trade in the case of Turkey using the time-series data for the period 1960–2005. This research tests the interrelationship between the variables using the bounds testing to cointegration procedure. The bounds test results indicate that there exist two forms of long-run relationships between the variables. In the case of first form of long-run relationship, carbon emissions are determined by energy consumption, income and foreign trade. In the case of second long-run relationship, income is determined by carbon emissions, energy consumption and foreign trade. An augmented form of Granger causality analysis is conducted amongst the variables. The long-run relationship of CO₂ emissions, energy consumption, income and foreign trade equation is also checked for the parameter stability. The empirical results suggest that income is the most significant variable in explaining the carbon emissions in Turkey which is followed by energy consumption and foreign trade. Moreover, there exists a stable carbon emissions function. The results also provide important policy recommendations.     

CO2 emissions,energy consumption and economic growth in BRIC countries

This paper examines dynamic causal relationships between pollutant emissions, energy consumption and output for a panel of BRIC countries over the period 1971–2005, except for Russia (1990–2005). 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 with the threshold income of 5.393 (in logarithms). In the short term, changes in emissions are driven mostly by the error correction term and short term energy consumption shocks, as opposed to short term output shocks for each country. Short-term deviations from the long term equilibrium take from 0.770 years (Russia) to 5.848 years (Brazil) to correct. The panel causality results indicate there are energy consumption–emissions bidirectional strong causality and energy consumption–output bidirectional long-run causality, along with unidirectional both strong and short-run causalities from emissions and energy consumption, respectively, to output. Overall, in order to reduce emissions and not to adversely affect economic growth, increasing both energy supply investment and energy efficiency, and stepping up energy conservation policies to reduce unnecessary wastage of energy can be initiated for energy-dependent BRIC countries.     

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.     

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,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.     

Examining carbon emissions economic growth nexus for India: A multivariate cointegration approach

The study probes cointegration and causality between carbon emissions and economic growth for India using ARDL bounds testing approach complemented by Johansen–Juselius maximum likelihood procedure in a multivariate framework by incorporating energy supply, investment and employment for time span 1971–2006. The study fails to establish long-run equilibrium relationship and long term causality between carbon emissions and economic growth; however, there exists a bi-directional short-run causality between the two. Hence, in the short-run, any effort to reduce carbon emissions could lead to a fall in the national income. This study also establishes unidirectional short-run causality running from economic growth to energy supply and energy supply to carbon emissions. The absence of causality running from energy supply to economic growth implies that in India, energy conservation and energy efficiency measures can be implemented to minimize the wastage of energy across value chain. Such measures would narrow energy demand–supply gap. Absence of long-run causality between carbon emissions and economic growth implies that in the long-run, focus should be given on harnessing energy from clean sources to curb carbon emissions, which would not affect the country’s economic growth.     

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.     

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.     

Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: Do foreign direct investment and trade matter?

Environmental degradation has become a central issue of discussion among the economists and environmentalists. In view of Malaysia's position as one of the main contributors to CO₂ emissions in Asia and its status as a fast growing economy, it is vital, therefore, to conduct a study to identify the relationship between economic growth and CO₂ emissions for Malaysia. This study attempts to examine empirically the environmental Kuznets curve hypothesis for Malaysia in the presence of foreign direct investment and trade openness both in the short- and long-run for the period 1970 to 2008.The bounds testing approach and Granger causality methodology are applied to test the interrelationships of the variables. The results of our study indicate that the inverted-U shaped relationship does exist between economic growth and CO₂ emission in both the short- and long-run for Malaysia after controlling for two additional explanatory variables, namely FDI and trade. Importantly, the results of the study also provide some crucial policy recommendations to the policy makers.     

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.     

The impact of growth, energy and financial development on the environment in China: A cointegration analysis

This article aims to investigate the impact of financial development, economic growth and energy consumption on environmental pollution in China from 1953 to 2006 using the Autoregressive Distributed Lag (ARDL) bounds testing procedure. The main objective is to examine the long run equilibrium relationship between financial development and environmental pollution. The results of the analysis reveal a negative sign for the coefficient of financial development, suggesting that financial development in China has not taken place at the expense of environmental pollution. On the contrary, it is found that financial development has led to a decrease in environmental pollution. It is concluded that carbon emissions are mainly determined by income, energy consumption and trade openness in the long run. Moreover, the findings confirm the existence of an Environmental Kuznets Curve in the case of China.     

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.     

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.     

Oil prices,nuclear energy consumption,and economic growth: New evidence using a heterogeneous panel analysis

This paper applies panel data analysis to examine the short-run dynamics and long-run equilibrium relationships among nuclear energy consumption, oil prices, oil consumption, and economic growth for developed countries covering the period 1971–2006. The panel cointegration results show that in the long run, oil prices have a positive impact on nuclear energy consumption, suggesting the existence of the substitution relationship between nuclear energy and oil. The long-run elasticity of nuclear energy with respect to real income is approximately 0.89, and real income has a greater impact on nuclear energy than do oil prices in the long run. Furthermore, the panel causality results find evidence of unidirectional causality running from oil prices and economic growth to nuclear energy consumption in the long run, while there is no causality between nuclear energy consumption and economic growth in the short run.     

Environmental Kuznets Curve in China: New evidence from dynamic panel analysis

This paper applies a panel of 28 provinces of China from 1996 to 2012 to study the impacts of economic development, energy consumption, trade openness, and urbanization on the carbon dioxide, waste water, and waste solid emissions. By estimating a dynamic panel model with the system Generalized Method of Moments (GMM) estimator and an autoregressive distributed lag (ARDL) model with alternative panel estimators, respectively, we find that the Environmental Kuznets Curve (EKC) hypothesis is well supported for all three major pollutant emissions in China across different models and estimation methods. Our study also confirms positive effects of energy consumption on various pollutant emissions. In addition, we find some evidence that trade and urbanization may deteriorate environmental quality in the long run, albeit not in the short run. From policy perspective, our estimation results bode well for Chinese government's goal of capping greenhouse emissions by 2030 as outlined in the recent China-US climate accord, while containing energy consumption and harm effects from expanding trade and urbanization remains some environmental challenges that China faces.     

The short and long run causality relationship among economic growth,energy consumption and financial development: Evidence from South Mediterranean Countries (SMCs)

This study aims at examining the short-run and long-run causal link between economic growth, energy consumption and financial development by using data set of 6 SMCs for the 1995–2015 periods. The basic testing procedure requires four steps: ADF and PP unit root tests, Bound tests for Co-integration, ARDL approach and VECM method. The results confirm cointegration between the variables. It means that the long-run relationship exists. The short-run causal relationships (unidirectional) exist at least once for each country (except Egypt). The Granger causality results for individual countries give mixed results. These results urge for the attention of the policy makers in SMCs to design a comprehensive energy conservation policy to minimize the consequences of massive energy consumption on economic growth by adding financial development.