Dynamic Spillover of Economic Freedom and Economic Complexity to Wealth: Quantile Evidence from Developing Countries

Document Type : Original Article

Authors

1 Department of Economics, Payame Noor University (PNU), Tehran, Iran

2 2 Associate Professor, Department of Economics, Payame Noor University (PNU), Tehran, Iran

3 3 Assistant Professor, Department of Management, Payame Noor University (PNU), Tehran, Iran

Abstract

Greater Wealth remains a crucial aspiration for developing nations, pursued with increasing intensity in recent decades amid the rapid technological progress of developed countries. This study intends to examine and evaluate the dynamic spillover of economic freedom and dimensions of economic complexity (research, technological, and commercial) on national Wealth in 22 selected developing countries during the period from 2000 to 2023—a period when the world simultaneously experienced remarkable growth in technological products and economic complexity, alongside evident positive effects of economic freedom on noteworthy country growth rates. The selection of these countries, spanning a broad geographical expanse and showing varying degrees of growth, was informed by an era marked by crises such as the global financial crisis, the COVID-19 pandemic, and the Ukraine war. Employing the Quantile Panel Vector Autoregression (PQVAR) model and the Diebold-Yilmaz volatility spillover method, the findings show that in the lower quantiles of the wealth distribution, commercial complexity serves as the primary spillover transmitter. At the same time, per capita income is the most vulnerable recipient. In contrast, in higher quantiles, economic freedom has a central role in mitigating instability. During the aforementioned crisis periods, systemic connectedness increases, with spillovers shifting from trade and technology to income. The observations verify the critical and effective role of economic complexity and institutional freedom, as embodied in the economic freedom index, in reducing systemic vulnerability and enhancing growth stability. Accordingly, policymakers are advised to focus on improving these two indices to achieve greater Wealth and economic security in developing countries.

Keywords


Atilgan, D., & Kütükçü, E. (2025). The effect of economic complexity and human development indices on economic growth: Empirical evidence from MIKTA countries. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisihttps://doi.org/10.18070/erciyesiibd.1652112
Awan, F. (2025). The Freedom Factor: Economic Growth Dynamics in Low and Lower Middle-Income Nations. Preprint. https://doi.org/10.21203/rs.3.rs-6263349/v1
Balland, P.-A., Broekel, T., Diodato, D., Giuliani, E., Hausmann, R., O'Clery, N., & Rigby, D. (2022). The new paradigm of economic complexity. Research Policy, 51(1), 104450. https://doi.org/10.1016/j.respol.2021.104450
Benhamed, A., & Abdennour, F. (2025). Economic Complexity and Human Development in MENA Countries: A Panel ARDL Analysis. Journal of Posthumanismhttps://doi.org/10.63332/joph.v5i6.2171
Bilal, S., & Ahmad, I. (2024). Institutions, Human Capital and Emerging Nations' Economic Expansion. Review of Applied Management and Social Scienceshttps://doi.org/10.47067/ramss.v7i4.377
Chehreghani, A., Nia, A. T., & Heidaric, Z. (2025). The Effect of Economic Complexity on the Wealth of Selected Countries. Journal of Industrial Innovations, 3(2), 25-38. https://doi.org/10.61882/jii.3.2.25
Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57-66. https://doi.org/10.1016/j.ijforecast.2011.02.006
Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119-134. https://doi.org/10.1016/j.jeconom.2014.04.012
Gwartney, J., Lawson, R., Hall, J., & Murphy, R. (2021). Economic Freedom of the World: 2021 Annual Report. Institute of Economic Affairs Monographs
Hamdi, F., Souam, S., & Zouikri, M. (2025). The Heterogeneous Effect of Economic Complexity on Growth and Human Development: New Empirical Evidence Using Buffered Panel Threshold Regression. The World Economyhttps://doi.org/10.1111/twec.70023
Hartmann, D., Guevara, M. R., Jara-Figueroa, C., Aristarán, M., & Hidalgo, C. A. (2017). Linking economic complexity, institutions, and income inequality. World Development, 93, 75-93. https://doi.org/10.1016/j.worlddev.2016.12.020
Hasanvand, A., Karimi, M. S., Fallahi, A., & Khanzadi, A. (2022). The effect of economic complexity on income inequality in selected developing countries: A dynamic panel approach. Quarterly Journal of Financial Economics, 16(1), 193-214. https://jfe.atu.ac.ir/article_15508.html (in Persian)
Hausmann, R., & Hidalgo, C. A. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570-10575. https://doi.org/10.1073/pnas.0900943106
Kamguia, B., & Mekongo, C. B. (2024). Unraveling the Effects of Economic Complexity on Governance in Developing Countries: New Evidence from Instrumental Variable Quantile Regression Estimates. International Economic Journalhttps://doi.org/10.1080/10168737.2024.2427630
Kumar, P., Choudhary, P., Kumar, N., & Kumar, V. (2025). The interplay of economic complexity, financial development, and income inequality in Asia. Acta Oeconomicahttps://doi.org/10.1556/032.2025.00024
Mehmood, S., & Kaewsaeng-On, R. (2025). Pathways to Progress for Financial Development: Leveraging Natural Resources, Technological Innovation, and Trade Openness via Quantile Modeling. Natural Resources Forumhttps://doi.org/10.1111/1477-8947.70031
Mostolizadeh, H. (2021). Examining the long-term and short-term relationship between economic freedom and economic complexity in developed and developing countries [Master's thesis]. Semnan University. (in Persian)
Mostolizadeh, S. M., Farhati, M., & Salimi, L. (2023). The impact of economic complexity and shadow economy on income inequality in OECD member countries. Journal of Public Sector Economics Studies, 2(3), 335-352. https://doi.org/10.22054/jpess.2023.71650.1072 (in Persian)
North, D. C. (1990). Institutions, Institutional Change and Economic Performance. Cambridge University Press.
Poorabdollah, F., & Makiyan, S. (2025). The Impact of Financial Complexity on the Host's FDI Inflow in Selected Asian Countries. International Journal of New Political Economy, 6(2), 67-89. https://doi.org/10.48308/jep.2025.238516.1210
Poorabdollah, F., Makiyan, S.-N., & Haj Amini, M. (2025). Calculating Financial Complexity in Iran's Economy. Journal of Financial Economics. Advance online publication. https://doi.org/10.71818/ecj.2025.1194733
Pourabdollah, F., Makiyan, S.- nezamuddin, Hajamini, M., & Zare, M. H. (2025). Financial Complexity: A Comparison Study of Türkiye, Iran, Saudi Arabia and the UAE. Sosyoekonomi, 33(64), 61-76. https://doi.org/10.17233/sosyoekonomi.2025.02.03
Shahabadi, A., Chayani, T., & Sadeghi Motamed, Z. (2021). The interactive effect of innovation and economic freedom index on economic complexity in selected science-producing countries. Scientific Journal of Economic Studies and Policies, 8(1), 31-55. https://dx.doi.org/10.22096/esp.2021.535172.1406 (in Persian)
Tazin, T. (2025). Economic Metamorphosis: Unravelling the Threads of Trade Liberalisation in Bangladesh's GDP Evolution. The Bangladesh Development Studieshttps://doi.org/10.57138/qvdu2805
Yülek, L., & Özaytürk, G. (2024). Development - Economic Freedoms Interaction: A Comparative Analysis of D8 and G8 Country Groups. Uluslararası İktisadi ve İdari İncelemeler Dergisihttps://doi.org/10.18092/ulikidince.1340362

Articles in Press, Accepted Manuscript
Available Online from 25 February 2026
  • Receive Date: 28 December 2025
  • Revise Date: 15 February 2026
  • Accept Date: 25 February 2026
  • First Publish Date: 25 February 2026
  • Publish Date: 25 February 2026