Abstract:

The objective of this paper is to shed light on the long-run and short-run causal relationships between electricity consumption, renewable electricity generation, renewable energy consumption, fossil energy consumption, energy use, carbon dioxide emissions and gross domestic product per capita for Morocco over the period 1990-2020 using the autoregressive distributed lag cointegration boundary test approach. The augmented Dickey-Fuller unit root test and the Phillips-Perron unit root test were used to verify the stationarity of the variables, while the Johansen cointegration test was applied to examine the robustness of the long-run relationships. The results showed that the long-run effects of the variables were found to have a greater effect on the gross domestic product per capita compared to the short-run dynamics, thereby demonstrating that the results are heterogeneous. The results suggest that the government of Morocco should take well-defined measures to increase the use of renewable energy resources to solve the country's energy crisis and introduce incentive mechanisms to mitigate carbon dioxide emissions.

Keywords:

Renewable Energy, Economics Performance, ARDL, Energy transition, Energy Fossil, Econometrics.

How to Cite:

Dahhou Nabil, Soufiyan Bahetta, Oum El Hanae El Kraid, Sara el Aoufi, and Kharbouch Omar. Unlocking Morocco's Economic Potential: Insights into the Complex Relationship Between Electricity, Renewable Energy, and GDP. [ref]: vol.21.2023. available at: https://refpress.org/ref-vol21-a57/