Asymmetric Effects of Oil Price Fluctuations and the Intensity of Commercial Development on the Consumption of Renewable Energies in Iran

Authors

    Fatemeh Eghbal Manesh Department of Economics, CT.C., Islamic Azad University, Tehran, Iran.
    Shahriyar Nessabian * Department of Economics, CT.C., Islamic Azad University, Tehran, Iran. sh.nessabian@iau.ac.ir
    Mahmood Mahmoodzadeh Department of Economics, Fi.C., Islamic Azad University, Firoozkooh, Iran.
    Alireza Daghighiasli Department of Economics, CT.C., Islamic Azad University, Tehran, Iran

Keywords:

Iran, innovation, renewable energy , business development, oil price

Abstract

This study aims to examine the asymmetric effects of oil price fluctuations, trade development intensity, innovation, and human development on renewable energy consumption in Iran. The research employed a descriptive–analytical approach using time series data from 2001–2020. Oil price volatility was estimated through the EGARCH model, and both short-run and long-run relationships among variables were analyzed using the Nonlinear Autoregressive Distributed Lag (NARDL) model. The main variables included oil price volatility, trade development intensity (exports plus imports to GDP ratio), global innovation index, and human development index. Data were collected from international sources such as the World Bank, EIA, and UNDP. The EGARCH model confirmed significant and stable oil price volatility. NARDL estimations revealed that all variables were statistically significant at the 95% confidence level. In the short run, positive changes in oil price volatility, trade development, innovation, and human development had significant positive impacts on renewable energy consumption, whereas negative changes had adverse effects. In the long run, a 1% increase in trade development, innovation, human development, and oil price volatility led to rises of 1.52%, 1.04%, 0.89%, and 0.68% in renewable energy consumption, respectively. The bounds test confirmed the presence of long-term cointegration among the variables. Trade development emerged as the most influential determinant of renewable energy consumption, followed by innovation, oil price volatility, and human development. The results highlight the need for improved renewable energy policies, enhancement of technological infrastructure, and trade facilitation to strengthen renewable energy utilization in Iran.

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References

Adebayo, T. S., Rjoub, H., Akinsola, G. D., & Oladipupo, S. D. (2021). The asymmetric effects of renewable energy consumption and trade openness on carbon emissions in Sweden: new evidence from quantile-on-quantile regression approach. Environmental Science and Pollution Research, 1-12. https://doi.org/10.1007/s11356-021-15706-4

Alvarado, R., Deng, Q., Tillaguango, B., Méndez, P., Bravo, D., Chamba, J., & Ahmad, M. (2021). Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries. Energy, 215, 119147. https://doi.org/10.1016/j.energy.2020.119147

Anton, S. G., & Nucu, A. E. A. (2020). The effect of financial development on renewable energy consumption.A panel data approach. Renewable Energy, 147, 330-338. https://doi.org/10.1016/j.renene.2019.09.005

Bamati, N., & Raoofi, A. (2020). Development level and the impact of technological factor on renewable energy production. Renewable Energy, 151, 946-955. https://doi.org/10.1016/j.renene.2019.11.098

Eyden, R., Difeto, M., Gupta, R., & Wohar, M. E. (2019). Oil price volatility and economic growth: Evidence from advanced economies using more than a century's data. Applied Energy, 233-234, 612-621. https://doi.org/10.1016/j.apenergy.2018.10.049

Fossaceca, A. (2020). Assessing the Determinants of the Human Development Index in Oil-Dependent Nations. Undergraduate Economic Review, 16(1), 19.

Harder, A. (2019). Solar power costs plummet across South Asia and the Pacific.

Heydari, A., Astiaso Garcia, D., Keynia, F., Bisegna, F., & De Santoli, L. (2019). Hybrid intelligent strategy for multifactor influenced electrical energy consumption forecasting. Energy Sources, Part B: Economics, Planning, and Policy, 14(10-12), 341-358. https://doi.org/10.1080/15567249.2020.1717678

Heydari, A., Garcia, D. A., Keynia, F., Bisegna, F., & De Santoli, L. (2019). A novel composite neural network based method for wind and solar power forecasting in microgrids. Applied Energy, 251, 113353. https://doi.org/10.1016/j.apenergy.2019.113353

Hoang, Q. V. (2020). Determinants of the result of new rural development program in Vietnam. Journal of Economics and Development. https://doi.org/10.1108/JED-12-2019-0076

Ibrahim, B. A., Elamer, A. A., & Abdou, H. A. (2025). The role of cryptocurrencies in predicting oil prices pre and during COVID -19 pandemic using machine learning. Annals of Operations Research, 345(2), 909-952. https://doi.org/https://doi.org/10.1007/s10479 -022 -05024 -4

Mohammadi, Z., & Kazemi, H. (2024). The Impact of Oil Price Volatility and Economic Uncertainty on Unemployment in Southeast Asian Countries. Journal of International Economic Studies, 18(1), 45-62.

Mohseni, H., & Ghasemi, R. (2024). The Impact of Oil Price Shocks and Economic Uncertainty on Unemployment in Oil-Exporting Countries. Journal of Economic Research and Development, 19(2), 98-115.

Mohsin, M., Kamran, H. W., Nawaz, M. A., Hussain, M. S., & Dahri, A. S. (2021). Assessing the impact of transition from nonrenewable to renewable energy consumption on economic growth-environmental nexus from developing Asian economies. Journal of Environmental Management, 284, 111999. https://doi.org/10.1016/j.jenvman.2021.111999

Mousavi, N., & Khosravi, H. (2024). The Effects of Oil Price Uncertainty on the Iranian Labor Market: A Panel Data Analysis. Journal of Iranian Economic Analyses, 11(4), 121-138.

Murshed, M. (2019). Electricity conservation opportunities within private university campuses in Bangladesh. Energy Environ, 31, 256-274. https://doi.org/10.1177/0958305X19857209

Murshed, M. (2020). Are Trade Liberalization policies aligned with renewable energy transition in low and middle income countries? An instrumental variable approach. https://doi.org/10.1016/j.renene.2019.11.106

Omri, A., & Nguyen, D. K. (2019). On the determinants of renewable energy consumption: International evidence. Energy, 72, 554-560. https://doi.org/10.1016/j.energy.2014.05.081

Pourdarbani, R. (2020). Review of Current Status and Future Demand for Renewable Energy in Iran and its Marketing. Journal of Renewable and New Energy, 7(1), 118-124. https://www.jrenew.ir/article_93859_45c8917a19b009d811ac3da82ccf298f.pdf

Pourhashemi, A., & Yousefi, N. (2024). The Impact of Oil Price Volatility and Monetary Policies on Unemployment in Oil-Exporting Countries of the Middle East Region. Journal of Economic Research and Middle East Development, 13(1), 99-113.

Qiu, D., Dinçer, H., Yüksel, S., & Ubay, G. G. (2020). Multi-faceted analysis of systematic risk-based wind energy investment decisions in E7 economies using modified hybrid modeling with IT2 fuzzy sets. Energies, 13(6), 1423. https://doi.org/10.3390/en13061423

Rahmani, M., & Khorasani, F. (2024). Oil Price Volatility and Its Impact on Unemployment in Oil-Exporting Countries: A Comparative Study. Quarterly Journal of Global Economic Research, 12(2), 114-128.

Shah, I. H., Hiles, C., & Morley, B. (2018). How do oil prices, macroeconomic factors and policies affect the market for renewable energy? Applied Energy, 215, 87-97. https://doi.org/10.1016/j.apenergy.2018.01.084

Shahbaz, M., Topcu, B. A., Sarıgül, S. S., & Vo, X. V. (2021). The effect of financial development on renewable energy demand: The case of developing countries. Renewable Energy, 178, 1370-1380. https://doi.org/10.1016/j.renene.2021.06.121

Tambari, I. J. T., & Failler, P. (2020). Determining if Oil Prices Significantly Affect Renewable Energy Investment in African Countries With Energy Security Concerns. Energies. https://doi.org/10.3390/en13246740

Tantau, A. D., & Frăţilă, L. C. (2021). Business Development in the Renewable Energy Industry. In Research Anthology on Clean Energy Management and Solutions (pp. 1439-1474). IGI Global. https://doi.org/10.4018/978-1-7998-9152-9.ch062

Wood, M. (2019). Battle for the future: Asia Pacific renewable power competitiveness 2019.

Zhao, D., Chaudhry, M. O., Ayub, B., Waqas, M., & Ullah, I. (2024). Modeling the Nexus between geopolitical risk, oil price volatility and renewable energy investment; evidence from Chinese listed firms. Renewable Energy, 225, 120309. https://doi.org/10.1016/j.renene.2024.120309

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Published

2026-06-22

Submitted

2025-07-29

Revised

2025-10-23

Accepted

2025-10-29

Issue

Section

Articles

How to Cite

Eghbal Manesh, F. . . . . . . . . . . ., Nessabian, S., Mahmoodzadeh, M. . . . . . . . . . . ., & Daghighiasli, A. . . . . . . . . . . . . . . (1405). Asymmetric Effects of Oil Price Fluctuations and the Intensity of Commercial Development on the Consumption of Renewable Energies in Iran. Accounting, Finance and Computational Intelligence, 1-18. https://jafci.com/index.php/jafci/article/view/253

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