Investigating Interaction Dynamics among Nonoil Economic Growth and Its Most Important Determinants: Evidence from Saudi Arabia

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Badr Saleh Al-Abdi, Abdallah M. M. Badr, Faisal A. M. Ali, Tawfik M. A. Jabbar, Fahmy Al–Salwi
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引用次数: 0

Abstract

Over the past decades, Saudi Arabia’s economic development has strongly depended on oil revenues fueled by the rise of oil prices and the strong global market demands for crude oils. However, the country can no longer depend on oil revenues in the face of the dynamic global market, and hence, the Saudi government’s Vision 2030 seeks to reduce this dependence and diversify the economy’s sources of income. Motivated by this, this study aims to investigate the impact of growth factors: financial innovation (FI), nonoil trade openness (TO), nonoil gross capital formation (GCF), and human capital (CH) development on the nonoil economic growth in Saudi Arabia. The goal of this investigation is to examine the dynamic symmetrical and nonsymmetrical impact of these growth factors on nonoil economic growth and policymaking in Saudi Arabia. To achieve this, this study utilizes the distributed lag symmetric and asymmetric (ARDL and NARD) approaches to assess the short- and long-term symmetric relationships among these growth variables with nonoil economic growth as well as the stationarity, cointegration, and directionality among variables with the theory of “ceteris paribus” in the error correction model (ECM), and Granger causality framework to analyze time-series data from 1980 to 2020. The findings of this study revealed that the FI, TO, GCF, and CH have an impact on the nonoil economic growth in the short and long terms. Additionally, in the long term, the NARDL technique showed that the positive adjustments of HC, FI, TO, and GCF boost the development, which have very significant effects on the nonoil GDP. They also indicate that negative movements have more influence than positive movements in FI. Meanwhile, mixed directional causation results were observed in the short-run analyses. Overall, the findings of this study provide significant insights, empirical recommendations, and implications for policymakers striving to achieve sustainable nonoil trade economic growth in Saudi Arabia and the region.
调查非石油经济增长及其最重要决定因素之间的互动动态:沙特阿拉伯的证据
在过去的几十年里,沙特阿拉伯的经济发展严重依赖于石油价格的上涨和全球市场对原油的强劲需求所带来的石油收入。然而,面对充满活力的全球市场,沙特不能再依赖石油收入,因此,沙特政府的《2030 年愿景》寻求减少这种依赖,并使经济收入来源多样化。受此激励,本研究旨在探究增长因素:金融创新(FI)、非石油贸易开放度(TO)、非石油资本形成总额(GCF)和人力资本(CH)发展对沙特阿拉伯非石油经济增长的影响。本调查的目的是研究这些增长因素对沙特阿拉伯非石油经济增长和政策制定的动态对称和非对称影响。为此,本研究利用分布式滞后对称和非对称(ARDL 和 NARD)方法评估了这些增长变量与非石油经济增长之间的短期和长期对称关系,并利用误差修正模型(ECM)中的 "比差 "理论和格兰杰因果关系框架分析了 1980 年至 2020 年的时间序列数据,评估了变量之间的静态性、协整性和方向性。研究结果表明,从短期和长期来看,FI、TO、GCF 和 CH 都会对非石油经济增长产生影响。此外,从长期来看,NARDL 技术显示 HC、FI、TO 和 GCF 的正向调整促进了发展,对非石油 GDP 有非常显著的影响。它们还表明,FI 的负向变动比正向变动影响更大。同时,在短期分析中观察到了混合的定向因果关系结果。总之,本研究的结果为努力实现沙特阿拉伯和该地区可持续非石油贸易经济增长的政策制定者提供了重要的见解、经验建议和启示。
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来源期刊
Discrete Dynamics in Nature and Society
Discrete Dynamics in Nature and Society 综合性期刊-数学跨学科应用
CiteScore
3.00
自引率
0.00%
发文量
598
审稿时长
3 months
期刊介绍: The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.
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