Dynamics of International Direct Investment in Renewable Energy and Structural Transformation in MENA Countries: Standard Evidence Using System-GMM Models and Threshold Regression (2005-2023)

Authors

  • Munaf Marza Neama Al-Qadisiyah University
  • Shatha Salem Dily Al-Qadisiyah University
  • Ibrahim Khalil Sultan Al-Qadisiyah University

DOI:

https://doi.org/10.47134/jeae.v3i4.1202

Keywords:

international direct investment, renewable energy, structural transformation, threshold models, MENA countries, sustainable development, enterprise quality

Abstract

This research aims to measure the impact of international direct investment directed to the renewable energy sector(FDI_RE) and the possibilities of structural transformation of emerging economies, and identify the special determinants that attract this type of investment, while testing the existence of a non-linear relationship between FDI_RE and structural transformation, the research relied on a mixed methodology that combines descriptive and Standard analysis using (Panel Data) for 12 countries from the Middle East and North Africa during the period (2005-2023 ) and then estimate three main standard models( generalized dynamic(system- GMM ) to estimate the determinants(FDI_RE) and the self-regression model of distributed data slowdowns (panel ARDL-PMG ) to measure the long-term and short-term relationship, and the threshold regression model for Data( Panel Threshold Regression ) to test non-linearity the results showed that the determinants of FDI in renewable energy are fundamentally different from traditional FDI determinants, as environmental policies and sustainable development goals came as the most attractive factors, superior to the market size and structure traditional infrastructure ، It was also proved that there is a long-term joint integration relationship between (FDI_RE) and structural transformation, with an elasticity coefficient of (0.437) in the long term, and most importantly, a non-linear relationship was discovered in the form of the letter S, where the impact of (FDI_RE) is not statistically significant as the ratio of its flows to GDP reaches a critical threshold of (1.83%), and after exceeding this threshold, the impact multiplies significantly coefficient( 0.712) the flexibility of structural transformation increases by( 67% ) in countries with strong institutions compared to countries with weak institutions, and this research is the first of its kind in the MENA region, which combines the analysis of fdi_re determinants and measurement of For the first time, it provides quantifiable quantitative results that policy makers can use to design strategies to attract green investment.

References

Aghion, P., Antonin, C., & Bunel, S. (2019). The power of creative destruction: Economic upheaval and the wealth of nations. Harvard University Press.

Ajide, K. B., & Lawal, A. I. (2021). Foreign direct investment and structural transformation in Sub-Saharan Africa: A nonlinear perspective. World Development, 145, Article 105531. https://doi.org/10.1016/j.worlddev.2021.105531

Al Ani, M. K., & Chavali, K. (2023). The relationship between investment intensity and profitability measures from the perspective of foreign investors. Humanities and Social Sciences Communications, 10(1), 76. https://doi.org/10.1057/s41599-023-01542-3

Ambec, S., Cohen, M. A., Elgie, S., & Lanoie, P. (2013). The Porter hypothesis at 20: Can environmental regulation enhance innovation and competitiveness? Review of Environmental Economics and Policy, 7(1), 2–22. https://doi.org/10.1093/reep/res016

Anton, S. G., & Nucu, A. E. A. (2020). The effect of financial development on renewable energy consumption. Economic Research-Ekonomska Istraživanja, 33(1), 1087–1108. https://doi.org/10.1080/1331677X.2019.1632783

Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D

Bashir, M. F. (2022). Discovering the evolution of pollution haven hypothesis: A literature review and future research agenda. Environmental Science and Pollution Research, 29(32), 48210–48232. https://doi.org/10.1007/s11356-022-20643-6

Belaid, F., & Zrelli, M. H. (2019). Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries. Energy Policy, 133, Article 110891. https://doi.org/10.1016/j.enpol.2019.110891

BloombergNEF. (2023). Global energy transition investment 2023. Bloomberg New Energy Finance.

Chenery, H. B., & Taylor, L. (1968). Development patterns: Among countries and over time. The Review of Economics and Statistics, 50(4), 391–416. https://doi.org/10.2307/1926806

Dunning, J. H. (1988). The eclectic paradigm of international production: A restatement and some possible extensions. Journal of International Business Studies, 19(1), 1–31. https://doi.org/10.1057/palgrave.jibs.8490372

Dunning, J. H. (2000). The eclectic paradigm as an envelope for economic and business theories of MNE activity. International Business Review, 9(2), 163–190. https://doi.org/10.1016/S0969-5931(99)00035-9

Dunning, J. H., & Lundan, S. M. (2008). Multinational enterprises and the global economy (2nd ed.). Edward Elgar Publishing. https://doi.org/10.4337/9781848443997

Ferrara, A. R., McCarl, B. A., & Zhang, Y. (2021). Renewable energy and structural transformation: Evidence from Latin America. Energy Economics, 101, Article 105412. https://doi.org/10.1016/j.eneco.2021.105412

Grossman, G. M., & Helpman, E. (1991). Innovation and growth in the global economy. MIT Press.

Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93(2), 345–368. https://doi.org/10.1016/S0304-4076(99)00025-1

Hansen, B. E. (2000). Sample splitting and threshold estimation. Econometrica, 68(3), 575–603. https://doi.org/10.1111/1468-0262.00124

International Energy Agency. (2024). World energy investment 2024. IEA.

International Renewable Energy Agency. (2023). Renewable energy statistics 2023. IRENA.

Javorcik, B. S. (2004). Does foreign direct investment increase the productivity of domestic firms? In search of spillovers through backward linkages. American Economic Review, 94(3), 605–627. https://doi.org/10.1257/0002828041464605

Kahouli, B., & Maktouf, S. (2021). The determinants of FDI in the renewable energy sector in MENA countries: A panel data analysis. (Lengkapi nama jurnal terlebih dahulu agar DOI dapat diidentifikasi secara tepat.)

Pla‐Barber, J., & Tobón‐Orozco, D. (2026). Sustainable foreign direct investment in emerging markets: The institutional drivers of firms' climate action. Sustainable Development. https://doi.org/10.1002/sd.3316

Rehman Khan, S. A., Hassan, S., Khan, M. A., Khan, M. R., Godil, D. I., & Tanveer, M. (2022). Nexuses between energy efficiency, renewable energy consumption, foreign direct investment, energy consumption, global trade, logistics and manufacturing industries of emerging economies: In the era of COVID-19 pandemic. Frontiers in Environmental Science, 10, Article 880200. https://doi.org/10.3389/fenvs.2022.880200

Sokolova, Y., & Tretyakova, D. (2025). Green waves and investment currents: Unraveling the dynamic linkage between environmental regulations and FDI inflows. Higher School of Economics Economic Journal, 29(4), 589–608. (DOI belum tersedia).

Solangi, Y. A., & Magazzino, C. (2025). Building economic stability through effective natural resource management and renewable energy investment in GCC countries. Empirical Economics, 68(5), 2327–2355. https://doi.org/10.1007/s00181-024-02674-5

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Published

2026-06-28

How to Cite

Neama , M. M., Dily, S. S., & Sultan, I. K. (2026). Dynamics of International Direct Investment in Renewable Energy and Structural Transformation in MENA Countries: Standard Evidence Using System-GMM Models and Threshold Regression (2005-2023). Journal of Economics, Assets, and Evaluation, 3(4), 1–24. https://doi.org/10.47134/jeae.v3i4.1202

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