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Impact of Financial Development Shocks on Renewable Energy Consumption in Saudi Arabia

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  • Raga M. Elzaki

    (Department of Agribusiness and Consumer Science, College of Agriculture and Food Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    Department of Rural Economics and Development, Faculty of Animal Production, University of Gezira, Wad Medani 20, Sudan)

Abstract

The demand for renewable energy is increasing globally due to concerns about climate change, pollution, and the finite nature of fossil-fuel resources, and renewable energy has been recognized as a significant factor in realizing sustainable development. The government of Saudi Arabia adopted the reduction in fossil-fuel subsidies policy as a financial motivation for supporting both the production and consumption of fossil fuels. Therefore, this study aims to investigate the influence and shocks of Saudi financial development indicators on renewable energy consumption (REC) and to examine the track of causality between financial development indicators and REC. The study covers the annual data period of 1990–2021 and applies the Basic Vector Autoregressive model (VAR), the Granger causality test, forecast-error variance decomposition (FEVD), and the impulse response function (IRF). In the short run, the VAR results indicate a positive and significant impact of stock price volatility and private credit on REC. The results of causality between REC and financial development indicators were conflicting. The Granger causality test shows significant causality running from stock price volatility and private credit to REC. The FEVD results reveal that REC variation is explained by its innovative shocks and has a positive response to shocks in financial development. The IRF results show that REC has a positive response to shock on private credit, liquid liabilities, and stock price volatility. Authorities can encourage investment in renewable energy consumption by providing financial incentives; also, governments can foster national and international partnerships between investors, policymakers, and industry stakeholders. Employing different determinants of financial development indicators and incorporating population factors in the REC function will be highly recommended for forming the renewable energy demand in Saudi Arabia. Conducting a micro-level analysis of specific sectors within renewable energy, such as solar, wind, and others, can provide actionable insights for policymakers.

Suggested Citation

  • Raga M. Elzaki, 2023. "Impact of Financial Development Shocks on Renewable Energy Consumption in Saudi Arabia," Sustainability, MDPI, vol. 15(22), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16004-:d:1281460
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    References listed on IDEAS

    as
    1. Zhang, Bo & Zhou, Peng, 2021. "Financial development and economic growth in a microfounded small open economy model," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Ioannou, Anastasia & Angus, Andrew & Brennan, Feargal, 2017. "Risk-based methods for sustainable energy system planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 602-615.
    3. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    4. Qamruzzaman, Md & Jianguo, Wei, 2020. "The asymmetric relationship between financial development, trade openness, foreign capital flows, and renewable energy consumption: Fresh evidence from panel NARDL investigation," Renewable Energy, Elsevier, vol. 159(C), pages 827-842.
    5. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    6. Hessler, Andrew, 2023. "Unobserved components model estimates of credit cycles: Tests and predictions," Journal of Financial Stability, Elsevier, vol. 66(C).
    7. Lahiani, Amine & Mefteh-Wali, Salma & Shahbaz, Muhammad & Vo, Xuan Vinh, 2021. "Does financial development influence renewable energy consumption to achieve carbon neutrality in the USA?," Energy Policy, Elsevier, vol. 158(C).
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    9. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    10. Saculsan, Phoebe & Kanamura, Takashi, 2019. "Examining risk and return profiles of renewable energy investment in developing countries: The Case of the Philippines," MPRA Paper 97473, University Library of Munich, Germany.
    11. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    12. Hui An & Qianmiao Zou & Mohamed Kargbo, 2021. "Impact of financial development on economic growth: Evidence from Sub‐Saharan Africa," Australian Economic Papers, Wiley Blackwell, vol. 60(2), pages 226-260, June.
    13. Boukhatem, Jamel, 2016. "Assessing the direct effect of financial development on poverty reduction in a panel of low- and middle-income countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 214-230.
    14. Kwadwo Boateng Prempeh, 2023. "The impact of financial development on renewable energy consumption: new insights from Ghana," Future Business Journal, Springer, vol. 9(1), pages 1-13, December.
    15. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    16. Husam Rjoub & Jamiu Adetola Odugbesan & Tomiwa Sunday Adebayo & Wing-Keung Wong, 2021. "Sustainability of the Moderating Role of Financial Development in the Determinants of Environmental Degradation: Evidence from Turkey," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    17. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    18. Dervis Kirikkaleli & Seyed Alireza Athari & Hasan Murat Ertugrul, 2021. "The real estate industry in Turkey: a time series analysis," The Service Industries Journal, Taylor & Francis Journals, vol. 41(5-6), pages 427-439, April.
    19. Olufemi Adewale Aluko & Patrick Olufemi Adeyeye, 2020. "Imports and economic growth in Africa: Testing for granger causality in the frequency domain," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(7), pages 850-864, October.
    20. Hassan Qudrat-Ullah & Chinedu Miracle Nevo, 2022. "Analysis of the Dynamic Relationships among Renewable Energy Consumption, Economic Growth, Financial Development, and Carbon Dioxide Emission in Five Sub-Saharan African Countries," Energies, MDPI, vol. 15(16), pages 1-19, August.
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