Unlocking Morocco's Economic Potential: Insights into the Complex Relationship Between Electricity, Renewable Energy, and GDP(Pages 552-563)
Dahhou Nabil1*, Soufiyan Bahetta1, Oum El Hanae El Kraid2, Sara el Aoufi1, and Kharbouch Omar3
1Ibn tofail University of Kénitra, Faculty of Economics and Management—Laboratory of Economics and Management of Organizations.
2 Mohammed VI, Polytechnic University, Faculty of Governance, Economics and Social Sciences.
3Professor-Dr Ibn tofail University of Kénitra, Faculty of Economics and Management—Laboratory of Economics and Management of Organizations.
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.
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/
Licensee REF Press This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.