Energy, technology, and economic growth in Saudi Arabia: An ARDL and VECM analysis approach.

ARDL and VECM CO2 emissions Non-renewable energy Renewable energy Saudi Arabia Technological advancement

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
29 Feb 2024
Historique:
received: 27 11 2023
revised: 27 01 2024
accepted: 06 02 2024
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 22 2 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38384577
doi: 10.1016/j.heliyon.2024.e26033
pii: S2405-8440(24)02064-4
pmc: PMC10878952
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e26033

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Faten Derouez (F)

Quantitative Methods Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.

Adel Ifa (A)

University of Sousse, Higher Institute of Finance and Taxation, Sousse, Tunisia.

Abdullah A Aljughaiman (AA)

Finance Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.

Mohammed Bu Haya (M)

Accounting Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.

Abdalwali Lutfi (A)

College of Business Administration, The University of Kalba, Kalba, 11115, UAE.
Accounting Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.
Applied Science Research Center, Applied Science Private University, Jordan.
MEU Research Unit, Middle East University, Amman, Jordan.
Department of Accounting, College of Business, Amman Arab University, Amman, Jordan.

Mahmaod Alrawad (M)

Quantitative Methods Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.
College of Business Administration and Economics, Al-Hussein Bin Talal University, Ma'an, 71111, Jordan.

Samah Bayomei (S)

Finance Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.
Management Department, School of Business, King Faisal University, Kingdom of Saudi Arabia.

Classifications MeSH