The Effect Of Green Energy On Economic Growth In Morocco: Non-Parametric Modelling (Lstm)[L'Effet Des Energies Vertes Sur La Croissance Economique Au Maroc : Modelisation Non Parametrique (Lstm)]

Demand for energy continues to grow, particularly in emerging economies. Like these economies, Morocco has invested significantly in renewable energies to meet the growing demand from its industry, which has been booming in recent years. The aim of this article is to examine whether an increase in renewable energy production has a positive impact on the Moroccan economy, which, like most of the world's economies, has suffered from rising oil prices and inflation following the recession, mainly due to the consequences caused by the coronavirus epidemic. The Moroccan economy, through a policy of migration or transition to renewable energies, is trying to lessen the negative effect of the recession by investing massively in renewable energies. Using data on the Moroccan economy, we test the contribution of renewable energies on the economy based on machine learning and neural networks through LSTM (LONG SHORT TERM MODELISATION) modeling. The empirical results show that an ever-increasing use of renewable energies can support the resumption of economic growth by generating a greater acceleration in GDP when compared with other variables.