Estimation of the Future Crude Oil Demand Function in Light of Global Transitions Toward Clean Energy: An Econometric Study Using a Structural Vector Autoregression (SVAR) Model

The research aims to appreciation function demand future on oil raw in shadow Transformations Global accelerated about Energy Clean, from during application model vector decline Self Structural (SVAR) on sample from countries The Structures Economic The disparate, include Canada, Norway, Korea Southern, Italy, and Mexico during the period is 2015–2024. It depends Search on group from Variables College, the most prominent of them consumption oil raw, Output Local Total, consumption Energy Renewable, and prices oil Global, With the aim analysis Relations Dynamics and interactions Structure Among them. It was done. Use Tests Stillness and integration Subscriber To determine features chains Time, then appreciation model SVAR with duty restrictions Document to Theory Economic to isolate traumas The structure. As well It was completed employment Dual Response For trauma (IRF) and analysis ingredients Variance (FEVD) to measure impact traumas different on demand on oil via time. It indicates Results to presence relationship reverse Increasing between consumption Energy Renewed and the request on Oil, with contrast clear in response countries place the study According to nature Their economies, where Show countries Imported sensitive higher For shocks Prices comparison in countries the producer and concludes Search This led to a number of conclusions, the most important of which were: that Transformation about Energy clean Contributes gradually in reformation structure demand Global on Oil, with Indications a task For manufacturers Policies in area Energy.