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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. [ABSTRACT FROM AUTHOR]

This document investigated the causal relationship between carbon dioxide (CO 2 ) emissions, health spending and GDP growth for 51 countries (divided into three groups of countries: low-income countries; group of countries with lower and upper middle income; group of middle income countries) covering the annual period 1995–2013. Dynamic simultaneous-equations models and generalized method of moments (GMM) are used to investigate this relationship. The main results provide evidence of a causal relationship between the three variables. The empirical results show that there is a bidirectional causality between CO 2 emissions and GDP per capita, between health spending and economic growth for the three groups of estimates. The results also indicate that there is a unidirectional causality from CO 2 emissions to health spending, except low income group countries. We found that health plays an important role in GDP per capita; it limits its effect on a growing deterioration in the quality of the environment. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to explore the effects of population growth (PG), environmental quality and trade openness on economic growth of major developed and developing countries.Design/methodology/approach The authors have used the panel unit root and panel co-integration tests over the period 1960-2013. Granger causality test is used to find out the direction of causality between the variables.Findings There is a bi-directional relationship between economic growth and trade openness, and a unidirectional relation, running from trade openness to CO2 emissions in the three developed countries. PG has a positive effect on economic growth in three developing countries and there exists a bidirectional relationships between CO2 emissions and PG and a unidirectional relationship from PG to economic growth and from trade openness to economic growth. Furthermore, there is a unidirectional relationship from PG to economic growth and bidirectional relationships between trade openness and economic growth for the six selected countries.Originality/value This is the first comprehensive research that combined the selected three major developed and three major emerging countries of the world to explore the effects of three important variables on economic growth. The authors’ findings will help the policy makers as well as the people of these six countries. this study has shown the aggregate and disaggregate results, so a comparison between the groups of countries is possible. Therefore, this research has significant contributions. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the causal relationship between nuclear energy consumption, CO 2 emissions, renewable energy and real GDP per capita using dynamic panel for nine developed countries over the period 1990–2013. Capital and labor are included as additional variables. Results shown that there is a unidirectional causality running from renewable energy consumption to real GDP per capita for the whole panel at short run; this implies that policies for reducing energy consumption may not retard economic growth and income. However, there is no links between nuclear energy consumption and real GDP per capita, but a unidirectional causality from nuclear energy consumption to labor. Moreover, a bidirectional causality between labor and capital, and between CO 2 emissions and capital are found. In addition, there is a unidirectional causal relationship from labor to CO 2 emissions, while among other variables no causal relationship is found. In the long run, there exists also a bidirectional causality between renewable energy consumption and real GDP per capita, which complain that renewable energy is a crucial component for economic growth. In addition, results revealed a unidirectional causality from GDP to CO 2 emissions. [ABSTRACT FROM AUTHOR]

This study contributes to the existing environmental economics literature by examining the short- and long-run impacts of renewable and nuclear energy consumption on CO 2 emissions in the case of 15OECD countries over the period 1990–2018 using both the Fully Modified OLS (FMOLS) and the vector error correction model approach (VECM) estimation methods. The results of the FMOLS show that: (i) investment in nuclear energy reduces CO 2 emissions in Canada, Netherlands, Japan, Switzerland, Czech Republic and UK, (ii) investment in renewable energy reduces CO 2 emissions in Belgium, Canada, France, Germany, Sweden, UK, US, Japan, Switzerland, Finland, Czech Republic; however, it increases CO 2 emissions in Netherlands and South Korea, and (iii) both nuclear and renewable energy consumption reduces carbon emissions for the panel estimations. Moreover, the results of the VECM method show that nuclear and renewable energies reduce CO2 emissions in the long-term. Our results suggest that the best option to reduce CO 2 emissions is to aim for a mix of nuclear and renewable energy. No need to choose. On the contrary: the two sources of energy are complementary. Policy implications are also discussed. Image 1 • Investment in nuclear energy and renewable energy reduced CO2 emissions in Belgium, Canada, France, Germany, Sweden, UK, US, Japan, Switzerland, Finland, Czech Republic; however, it increases CO2 emissions in Netherlands and South Korea. • Both nuclear and renewable energy consumption reduces carbon emissions for the panel estimations. • The best option to reduce CO2 emissions is to aim for a mix of nuclear and renewable energy. [ABSTRACT FROM AUTHOR]

Closing the gap between carbon emissions and economic development is one of the solutions for reaching the sustainable development goals (SDGs). The role of renewable energy in rebalancing environmental and economic conditions is becoming a significant subject of some debates in the current discussion circles. Hence, the main purpose of this article is to use both growth and environmental functions to demonstrate the effectiveness of renewable energy in promoting economic growth and mitigating carbon emissions in the case of 15 major renewable energy-consuming countries using both fully modified ordinary least square (FMOLS) and vector error correction model (VECM) estimation techniques. The results of the FMOLS method show the efficiency of renewable energy in increasing economic growth and reducing carbon emissions. We also find, from the VECM Granger causality test, that there is (i) a bidirectional causality between economic growth and renewable energy inshort- and long-run for both estimated functions, validating the feedback hypothesis; (ii) no causal relationship between CO 2 emissions and renewable energy in the long-run, but a bidirectional causality between the two variables is found in the short-run; (iii) a bidirectional relationship between economic growth and CO 2 emissions is found in both short and long-run. Policy and practical implications and future research directions are also discussed. • Using the fully modified ordinary least square (FMOLS) and the vector error correction model (VECM) techniques. • A bidirectional causality between economic growth and renewable energy inshort and long-run for both models, validating the feedback hypothesis. • A bidirectional relationship between economic growth and CO 2 emissions in both short and long run. • No causal relationship between CO 2 emissions and renewable energy in the long run, but a bidirectional causality between the two variables is found in the short run. [ABSTRACT FROM AUTHOR]