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The energy transition and export diversification in oil-dependent countries: The role of structural factors

Author

Listed:
  • Fatih Karanfil

    (KAPSARC - King Abdullah Petroleum Studies and Research Center)

  • Luc Désiré Omgba

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

The energy transition toward decarbonization is expected to impact producers of fossil fuels. However, oil-exporting countries are currently key players in the modern economy. Thus, the energy transition will not be successful if state revenues in these countries are not stably maintained. These countries can protect themselves against revenue volatility and mitigate carbon risk by diversifying their economies. However, export diversification appears to be particularly challenging for many oil-producing countries. It is natural to ask why some oil-exporting countries have managed to diversify their economies whereas others have not. We hypothesize that the differences in oil producers' diversification patterns may be associated with differences in their structural characteristics. Such differences may cause countries' diversification trends to diverge. To investigate this hypothesis, we examine whether all countries converge toward the same diversification level. We also check whether their diversification efforts diverge overall but create separate convergence clubs. The results show that structural and institutional factors play a central role in the diversification process. In particular, countries with higher quality infrastructure, human capital and research and development efforts are more likely to converge toward high diversification. Thus, these factors provide greater economic stability in turbulent times and promote a successful energy transition.

Suggested Citation

  • Fatih Karanfil & Luc Désiré Omgba, 2023. "The energy transition and export diversification in oil-dependent countries: The role of structural factors," Post-Print hal-03987530, HAL.
  • Handle: RePEc:hal:journl:hal-03987530
    DOI: 10.1016/j.ecolecon.2022.107681
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    Cited by:

    1. Hawazen Zam Almugren & A. C. Muhammadu Kijas & Masahina Sarabdeen & Jawaher Binsuwadan, 2024. "Does Quality Education and Governance Matter for Women’s Empowerment? The Role of Structural Factors and Governance in the MENA Region," Sustainability, MDPI, vol. 16(23), pages 1-18, November.
    2. Malah-Kuete, Yselle Flora & Avom, Désiré & Omgba, Luc Désiré, 2025. "Women in Sciences and Engineering : Why Leveling Employment in Industrial Sectors Matters for Economic Diversification in Developing Countries," Policy Research Working Paper Series 11211, The World Bank.
    3. Alyamani, Rakan & Solangi, Yasir Ahmed & Almakhles, Dhafer & Alyami, Hadi H., 2024. "Analysis of solution strategies for the transition to renewable energy in Saudi Arabia," Renewable Energy, Elsevier, vol. 235(C).
    4. Salem Hathroubi & Chaker Aloui & Hela Ben Hamida, 2024. "Economic Diversification, Oil Revenue and Energy Transition in Oil Dependent Countries: A Wavelet Decomposition and Panel Data Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 447-456, September.
    5. Bahareh Heidary & Mohammad Ali Kiani & Farzin Golzar, 2025. "Toward Sustainable Development: Energy Transition Scenarios for Oil-Dependent Countries, with Iran as a Case Study," Energies, MDPI, vol. 18(10), pages 1-20, May.
    6. Yu, Jian & Cai, Xuanye & Ji, Xinliang & Liang, Longyue & Yang, Jizhao, 2025. "Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China," Energy, Elsevier, vol. 334(C).
    7. Halil Ozekicioglu & Huseyin Topuz & Hasan Kazak & Cuneyt Kilic & Ahmet Tayfur Akcan, 2025. "Are OECD Countries Converging in Export Diversification? Evidence from PANIC-Fourier Panel Unit Root Test," Sustainability, MDPI, vol. 17(2), pages 1-21, January.
    8. Malah-Kuete, Flora Yselle, 2025. "Understanding the clean cooking energy access gap among developing countries: Sub-Saharan Africa vs. other developing regions," Energy, Elsevier, vol. 319(C).
    9. Mahammad Nuriyev & Aziz Nuriyev & Jeyhun Mammadov, 2023. "Renewable Energy Transition Task Solution for the Oil Countries Using Scenario-Driven Fuzzy Multiple-Criteria Decision-Making Models: The Case of Azerbaijan," Energies, MDPI, vol. 16(24), pages 1-22, December.
    10. Imran Khan & Darshita Fulara Gunwant, 2024. "Application of ARIMA model in forecasting remittance inflows: evidence from Yemen," International Journal of Economic Policy Studies, Springer, vol. 18(1), pages 283-303, February.

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    Keywords

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development

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