Dynamic links between ICT, transport energy, environmental degradation and growth: empirical evidence from Tunisia

The transport sector, particularly road transport, is a major factor in the overall emissions balance of the substances involved in air pollution for the majority of developing countries. This paper investigates the dynamic links between information and communication technology (ICT), transport energy, environmental degradation and growth for Tunisia. The authors used a Johansen co-integration analysis to determine this econometric relationship using data during 1990–2015. In order to test the Granger causality links in the short and long run, a panel Vector Error Correction Model is used. The variance decomposition is used to confirm the existing links between the different variables. Different results are found. These findings show the existence of bidirectional in short- and long-run causality between transport energy and CO2 emissions. By cons, ICT does not minimize significantly pollution in Tunisia. These findings are very important for the transport sector and in terms of the choice of government policy decisions in order to minimize the pollution

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 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

Economic growth in South Asia: the role of CO2 emissions, population density and trade openness

This study investigates the impact of CO2 emissions, population density, and trade openness on the economic growth of five South Asian countries. Using data from 1990 to 2017 the panel co-integration approach of extended neoclassical growth model is used. The obtained results reveal that CO2 emissions and population density positively and trade openness negatively affect the economic growth in South Asia. The extent of effect of population density is greater than that of CO2 emissions. Granger causality results exhibit a bidirectional causality between economic growth and CO2 emissions, and between trade openness and CO2 emissions. There is a unidirectional causality running from trade openness to economic growth, from population density to CO2 emissions and from labor to economic growth and population density. A detailed policy prescription is provided based on the findings

The effects of population growth, environmental quality and trade openness on economic growth: a panel data application

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

Renewable and non-renewable energy consumption, environmental degradation and economic growth in Tunisia

The aim of this document is to investigate the dynamic relationship between economic growth, renewable energy consumption, energy consumption and CO2 emissions in Tunisia over the period 1990–2015. Unit root tests and co-integration test was used in order to detect the order of stationary and to test the existence long run links between the used variables. We apply the Granger causality test and VECM model to discover the short and long run links between the variables. Results have shown a bidirectional causal relationship between energy use and CO2 emissions. Economic growth affects CO2 emission in the short and long run. While there is a unidirectional links running from energy use to economic growth at short run. The paper shares best practices from Tunisia in terms of efficient use of renewable energy policy enablers, which may be contextualized in other emerging economies in order to keep sustainability and to achieve the green economy