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This paper aims to explore the relationships between environmental quality, economic growth, and energy use. A panel data set of 25 years (1990–2014) for five OPEC countries (Algeria, Nigeria, Indonesia, Saudi Arabia, and Venezuela) is used, and panel unit root tests, panel cointegration tests, panel Granger causality tests, fully modified ordinary Least square (FMOLS), and dynamic ordinary least square (DOLS) methods are employed as estimation strategies. Our results show that in the long-run, there are two-way causal relationships between GDP and energy consumption for all countries. Bidirectional causal relationships between GDP and CO2 emissions are also observed in all countries except Algeria. The same relationships are also observed between energy consumption and CO2 emissions in all countries with an exception in Venezuela where unidirectional causality running from CO2 to energy consumption is found. The impact of GDP on the CO2 emissions is the highest in Saudi Arabia followed by Venezuela, Nigeria, and Indonesia. The effect of energy use on the CO2 emissions is the greatest in Algeria followed by Indonesia and Nigeria. [ABSTRACT FROM AUTHOR]

This paper is interested in modeling the nexus between health expenditure (HE), Environmental pollution (CO 2 emissions; Nitrous oxide emissions) and economic growth in the Sub-Saharan Africa countries using annual data over the period 1990–2015. We had applied the estimation method ARDL to model the long run and short run. In addition, we use the VECM Granger causality test for checking the direction of causality. Firstly, the results of ARDL test indicate that economic growth has positive impact on the HE while CO 2 emissions and NOE have negatives impact on the HE in the long run. The results show that a 1% increase in per capita GDP will lead to a 0.332% increase in the health expenditure, but an increase in CO 2 emissions and NOE of 1% will decrease the HE by 0.066% and 0.577%, respectively. On the other hand, the results of the VECM Granger causality show that there is a one-way relationship going from the HE to GDP per capita. On the contrary, a two-way causality relationship between CO 2 emissions and GDP per capita and also between the HE and CO 2 emissions is found. [ABSTRACT FROM AUTHOR]

In this paper, our objective is to investigate the relationship between natural disasters (droughts, floods, earthquakes, and storms), electricity and other variables macroeconomic for 41 countries over the period 1990-2014. The Panel data and Granger causality-VECM used in this paper over the period 1990-2014. The analysis finds that, the impact of natural disasters is negative and stronger on developing than on developed countries. Second, the test of causality shows that both in short term and long term there is a unidirectional relationship running from disaster measures to electricity consumption. In the long term, we note the existence of a unidirectional causal relationship ranging from disaster measures to GDP per capita. [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]

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]