Research Article

Forecasting the Role of Renewable Energy on Algeria's Economic Stability: ARIMAX Model

Volume: 6 Number: 2 June 30, 2024
EN TR

Forecasting the Role of Renewable Energy on Algeria's Economic Stability: ARIMAX Model

Abstract

This study investigates the impact of integrating renewable energy sources on Algeria's economic stability by 2030. Given Algeria's heavy reliance on fossil fuels, which constitutes 95% of its export revenues, the nation faces significant economic vulnerabilities due to global oil price fluctuations. Utilizing Python 3.12.3 to implement the ARIMAX model, this research analyzes economic data from 1970 to 2022 to forecast GDP growth, considering variables such as inflation, crude oil prices, and the share of renewable energy in the total primary energy supply. The findings suggest that incorporating renewable energy could enhance Algeria’s economic resilience, potentially contributing an additional 2% to GDP by 2030. This study underscores the critical need for strategic investments in renewable energy, emphasizing that this shift is not just an environmental imperative but a cornerstone for ensuring sustainable development and long-term economic stability.

Keywords

References

  1. Afshan, S., Cheong, C. W., & Sharif, A. (2023). Modelling the role of energy price movements toward economic stability in Malaysia: new evidence from wavelet-based analysis. Environmental Science and Pollution Research, 30(38), 88861-88875.
  2. Aicha, N., Rabiaa, B., & Khaldia, B. (2024). Producing electricity from solar energy in Algeria is a strategic alternative to securing traditional energy supplies. Beam Journal of Economic Studies, 8(1), 200-204.
  3. Akan, T. (2023). Can renewable energy mitigate the impacts of inflation and policy interest on climate change? Renewable Energy, 214, 255-289.
  4. Al-Maamary, H. M., Kazem, H. A., & Chaichan, M. T. (2017). The impact of oil price fluctuations on common renewable energies in GCC countries. Renewable and Sustainable Energy Reviews, 75, 989-1007. Andrews, B. H., Dean, M. D., Swain, R., & Cole, C. (2013). Building ARIMA and ARIMAX models for predicting long-term disability benefit application rates in the public/private sectors. Society of Actuaries, 1-54.
  5. Awerbuch, S., & Sauter, R. (2006). Exploiting the oil–GDP effect to support renewables deployment. Energy Policy, 34(17), 2805-2819.
  6. Backović, N., Jakšić, M., & Ilić, B. (2024). The Impact of energy on climate and economic stability: Forecast for Serbia. Journal of Central Banking Theory and Practice, 13(1), 199-222.
  7. Bouamra, H., Boualleg, N., Abdelmadjid, B. A., & Mohammed, B. (2023). The Asymmetric effect of oil price volatility on ınflation rates in Algeria during the period (1991-2021): An empirical Study using nonlinear autoregressive distributed lag models. Indian Journal of Economics and Business, 22(2), 25-46.
  8. Bouchaour, C., & Al-Zeaud, H. A. (2012). Oil price distortion and their impact on Algerian macroeconomic. International Journal of Business and Management, 7(18), 99.

Details

Primary Language

English

Subjects

Economic Models and Forecasting , Green Economy

Journal Section

Research Article

Publication Date

June 30, 2024

Submission Date

April 27, 2024

Acceptance Date

June 25, 2024

Published in Issue

Year 2024 Volume: 6 Number: 2

APA
Zemrı, B. E. (2024). Forecasting the Role of Renewable Energy on Algeria’s Economic Stability: ARIMAX Model. International Journal of Business and Economic Studies, 6(2), 90-109. https://doi.org/10.54821/uiecd.1474631

Cited By


28007

BES JOURNAL-International Journal of Business and Economic Studies is licensed with Creavtive Commons (CC) Attribution 4.0 International Licence (CC BY 4.0).