Derouez Faten, Ifa Adel, Aljughaiman Abdullah A, Bu Haya Mohammed, Lutfi Abdalwali, Alrawad Mahmaod, Bayomei Samah
Quantitative Methods Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.
University of Sousse, Higher Institute of Finance and Taxation, Sousse, Tunisia.
Heliyon. 2024 Feb 8;10(4):e26033. doi: 10.1016/j.heliyon.2024.e26033. eCollection 2024 Feb 29.
This paper investigates the effects in short and long run of renewable and non-renewable energy, technological advancement, population, foreign direct investment, energy export, energy price, and carbon dioxide emissions on economic growth in Saudi Arabia as one of the largest oil producing and richest countries in the world and as a leading country in investing in modern technology, during 1990-2022 by using the Autoregressive Distributed Lag(ARDL) approach and the Vector Error Correction Model (VECM) Granger causality technique. In first step, the ADF and DF-GSL tests are used to identify the order of integration of variables. In the second step, the Bounds test and the Wald test are used respectively to verify the existence of long run cointegration relationships and the long run relationships between variables. In the third step, we have applied the ARDL approach to capture the effect of each variable on Saudi economic growth in long term. Finally, the VECM technique was used to detect the direction of causality running from variable to another. It is appearing that all variables are stationary in first difference, and there are a long run cointegration and relationships among variables. The results of ARDL estimation show that non-renewable energy, renewable energy, population, foreign direct investment, energy export, and energy price positively affect the Saudi economic growth. While technological advancement and carbon dioxide emissions have negative effects on the economic increase of Saudi Arabia. These two results appear important and useful because of their consequences. In effect, it could damage its worldwide standing and dishearten foreign investment, stopping economic diversification efforts and increasing the income inequality. Though, the results of VECM technique show four bidirectional causal relationships between economic growth and non-renewable energy, foreign direct investment, energy export, and energy price. The findings of this study have several policy implications for Saudi Arabia. First, Saudi government should continue investing in the energy sector. Second, to attract more FDI, Saudi government should continue its efforts to reduce bureaucracy, simplify regulations, and provide a business-friendly environment. This strategy can help transfer technology and knowledge. Third, the government should monitor and control energy prices, as these can significantly impact economic growth. The government should invest in technological advancement, as this can help reduce carbon dioxide emissions and improve energy efficiency; also, investing in human capital is essential for long-term economic growth. Policies that promote the health, education, and general well-being of the population can lead to a more productive and innovative workforce. However, the article reveals that technological advancements have a negative impact on economic growth in Saudi Arabia. This could be due to a number of factors, such as a lack of skilled workers to implement new technologies or a mismatch between the skills of the workforce and the needs of the economy. As solutions, Saudi government must invest in education and training can help address these challenges by developing a workforce capable of adapting to the changing needs of the economy and effectively using new technologies. Also, it's important to create science and technology parks to foster innovation and collaboration between businesses and universities. By taking these steps, the Saudi government can help create more diverse and knowledge-based economy, making it less dependent on oil and gas exports and more resilient to economic shocks.
本文运用自回归分布滞后(ARDL)方法和向量误差修正模型(VECM)格兰杰因果关系技术,研究了1990 - 2022年期间可再生能源和不可再生能源、技术进步、人口、外国直接投资、能源出口、能源价格以及二氧化碳排放对沙特阿拉伯经济增长的短期和长期影响。沙特阿拉伯是世界上最大的石油生产国和最富有的国家之一,也是投资现代技术的领先国家。第一步,使用ADF和DF - GSL检验来确定变量的积分阶数。第二步,分别使用边界检验和 Wald 检验来验证长期协整关系的存在以及变量之间的长期关系。第三步,我们应用ARDL方法来捕捉每个变量对沙特长期经济增长的影响。最后,使用VECM技术来检测变量之间因果关系的方向。结果显示,所有变量在一阶差分中都是平稳的,并且变量之间存在长期协整和关系。ARDL估计结果表明,不可再生能源、可再生能源、人口、外国直接投资、能源出口和能源价格对沙特经济增长有积极影响。而技术进步和二氧化碳排放对沙特阿拉伯的经济增长有负面影响。这两个结果因其后果而显得重要且有用。实际上,这可能损害其在全球的地位并 discouragen(原文有误,推测为“deter”,意为阻止)外国投资,阻碍经济多元化努力并加剧收入不平等。不过,VECM技术的结果显示经济增长与不可再生能源、外国直接投资、能源出口和能源价格之间存在四个双向因果关系。本研究的结果对沙特阿拉伯有若干政策启示。首先,沙特政府应继续投资能源部门。其次,为吸引更多外国直接投资,沙特政府应继续努力减少官僚主义、简化法规并提供有利于商业的环境。这一战略有助于技术和知识的转移。第三,政府应监测和控制能源价格,因为这些价格会对经济增长产生重大影响。政府应投资技术进步,因为这有助于减少二氧化碳排放并提高能源效率;此外,投资人力资本对长期经济增长至关重要。促进人口健康、教育和总体福祉的政策可以带来更有生产力和创新性的劳动力。然而,文章揭示技术进步对沙特阿拉伯的经济增长有负面影响。这可能是由于一些因素,例如缺乏实施新技术的熟练工人或劳动力技能与经济需求不匹配。作为解决方案,沙特政府必须投资教育和培训,通过培养能够适应经济不断变化的需求并有效使用新技术的劳动力来帮助应对这些挑战。此外,创建科技园区以促进企业与大学之间的创新与合作也很重要。通过采取这些措施,沙特政府可以帮助创造更多样化和基于知识的经济,减少对石油和天然气出口的依赖,并更能抵御经济冲击。