Impact of fluctuations in global oil prices on Saudi Arabia's gross domestic product: A machine learning analysis

被引:0
作者
Elshafei, Abdallah Sayed Mossalem Ahmed [1 ]
Shrahili, Mansour [2 ]
Kayid, Mohamed [2 ]
Mohammad, Shahid [3 ]
机构
[1] Higher Inst Adm Sci, Dept Basic Sci, Belbeis, Alsharkia, Egypt
[2] King Saud Univ, Coll Sci, Dept Stat & Operat Res, POB 2455, Riyadh 11451, Saudi Arabia
[3] Univ Wisconsin Oshkosh, Oshkosh, WI USA
关键词
Global oil prices; Saudi Arabia; GDP; Machine learning;
D O I
10.1016/j.jrras.2025.101436
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Saudi Arabia's economy is highly dependent on oil exports. This paper examines the relationship between fluctuations in global the oil prices and Saudi Arabia's Gross Domestic Product (GDP) from 1970 to 2022, utilizing machine learning techniques for analysis. The results reveal a strong positive correlation between the oil prices and GDP growth, particularly during periods of high the oil prices, which increase government revenues and stimulate investment. However, this relationship is complex and influenced by various factors, including global oil price changes, geopolitical events, and national economic policies. The study emphasizes the urgent need for Saudi Arabia to diversify its economy to reduce its dependence on oil. By doing so, the kingdom can better manage the risks associated with oil price volatility and enhance its long-term economic resilience, preparing for a more balanced and sustainable future.
引用
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页数:5
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