Does improvement in capital intensity facilitate the transition to renewable energies? Evidence from Tunisia.

The objective of this study is to investigate the potential role of capital deepening in promoting the transition to renewable energy in Tunisia. To this end, the long and short run effects of capital deepening on the renewable energy transition were explored using the vector error correction model (VECM) and the Johansen cointegration technique, along with a linear and nonlinear causality test in the context of Tunisia for the period 1990 to 2018. In particular, we found that capital deepening contributes positively to the transition to clean energy resources.

An empirical investigation of the relationships between nuclear energy, economic growth, trade openness, fossil fuels, and carbon emissions in France: fresh evidence using asymmetric cointegration.

The intention behind the current analysis is to join the debate over the main factors to consider in the global fight against climate change. Thereby, the Non-linear Autoregressive Distributed Lag (NARDL) approach is applied to assess the impacts of nuclear energy, fossil fuels, income, and trade on carbon emissions in France from 1980 to 2020. In addition, the relevance of the Environmental Kuznets Curve (EKC) presumption is tested.

Exploring the inter-factor and inter-fuel substitution possibilities in Tunisia: the potential of renewable energy.

Tunisia is among the developing countries that have taken initiatives to develop renewable energy and strengthen energy efficiency. Moreover, it has considerable potential, especially in the field of wind and solar energy. However, the country is still dependent on fossil fuel energy.

The impact of financial development on renewable energy development in the MENA region: the role of institutional and political factors.

This study focuses on the role of institutional factors as well as financial development in renewable energy transition in the Middle East and North Africa (MENA) region over the period 1990-2018, using the autoregressive distributed lag (ARDL) pooled mean group (PMG) method. The investigation of long-run and short-run analysis confirms that institutional and political factors play a key role in promoting the transition to renewable energy and show that improving these factors can lead to decarbonization of the energy sector in the long run. Another important finding is that global financial development does not have a significant effect on the transition process in the long run, implying that the whole financial system needs a fundamental structural change to accelerate the substitution between polluting and clean energies.