Pandemic and Progress: How COVID-19 Redefined the Economic Catch-Up Dynamics

Document Type : Research Paper

Author

Faculty of Humanities and Social Sciences, Golestan University, Gorgan, Iran.

Abstract

This study examines the impact of the COVID-19 pandemic on economic catch-up dynamics across 194 countries, segmented by income groups, using an economic catch-up index relative to the United States (USA) and G7 benchmarks. To examine the change in the path of economic catch-up, a test is performed to compare the difference between the mean catch-up index after COVID-19 and the mean catch-up index before COVID-19 for each country. By comparing pre-pandemic periods (2001–2019, 2010–2019, 2014–2019) with the post-pandemic phase (2020–2023), the analysis reveals heterogeneous trajectories shaped by income levels, structural resilience, and benchmark selection. A clustering approach identified six distinct clusters, highlighting divergent recovery patterns. Low-income countries experienced significant divergence from the USA post-pandemic but displayed minor divergence with the G7. Lower-middle-income countries showed mixed outcomes, with notable progress in countries like Vietnam and Bangladesh but persistent divergence in structurally weaker economies such as Angola and Haiti. Upper-middle-income countries exhibited relative stability, while high-income countries diverged sharply from the USA but converged with the G7. These findings highlight the asymmetric effects of global shocks on economic trajectories and underscore the importance of institutional quality, policy responses, and structural diversification in shaping recovery outcomes. Correlation analysis shows that, Governance factors like Control of Corruption and Regulatory Quality are vital for economic catch-up in low- and upper middle-income countries, while COVID-19 mortality rates significantly hinder lower middle-income nations. High-income countries face post-pandemic challenges despite strong institutions, with innovation playing a critical role in sustaining their alignment with advanced economies.

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Main Subjects


Article Title [Persian]

پاندمی و پیشرفت: چگونگی تغییر پویایی های اقتصادی پس از کووید-19

Author [Persian]

  • حسن دلیری
دانشکده علوم انسانی و اجتماعی، دانشگاه گلستان، گرگان، ایران.
Abstract [Persian]

این مطالعه تأثیر همه‌گیری کووید-19 را بر پویایی همپایی اقتصادی در 194 کشور، با استفاده از شاخص همپایی اقتصادی (با دو معیار پایه ایالات متحده و گروه کشورهای جی7 ) بررسی می‌کند. برای بررسی تغییر در مسیر همپایی اقتصادی، آزمون مقایسه تفاوت بین میانگین شاخص همپایی قبل و بعد از کووید-۱۹ برای تمامی کشورهای نمونه انجام شد. با مقایسه دوره‌های پیش از همه‌گیری (2001-2019، 2010-2019، 2014-2019 که به ترتیب مسیر کوتاه مدت، میان مدت و بلند مدت را نمایش می دهد) با مرحله پس از همه‌گیری (2020-2023)، نتایج این تحلیل، مسیرهای ناهمگنی را بین کشورهای مختلف نشان می‌دهد. علاوه براین با استفاده از روش خوشه‌بندی، شش خوشه مجزا شناسایی شدند که براساس آن، هر خوشه الگوهای همپایی متفاوتی را برای دوره قبل و بعد از همه گیری، نمایش می­دهند. تحلیل براساس گروههای درآمدی نیز نشان از آن دارد که، کشورهای کم درآمد واگرایی قابل توجهی از امریکا پس از همه گیری را تجربه کردند، اما واگرایی جزئی با جی7 داشتند. کشورهای با درآمد متوسط ​​پایین، نتایج متفاوتی را نشان دادند، با پیشرفت قابل توجه در کشورهایی مانند ویتنام و بنگلادش، اما واگرایی مداوم در اقتصادهای ساختاری ضعیف تر مانند آنگولا و هائیتی. کشورهای با درآمد متوسط ​​بالا، ثبات نسبی را نشان دادند، در حالی که کشورهای با درآمد بالا به شدت از ایالات متحده فاصله گرفتند اما با جی7 همگرا شدند. این یافته‌ها اثرات نامتقارن شوک‌های جهانی را بر مسیرهای پیشرفت اقتصادی برجسته می‌کنند و بر اهمیت کیفیت نهادی، پاسخ‌های سیاست‌گذاری و تنوع ساختاری در شکل‌دهی به نتایج تاکید می‌کنند. تجزیه و تحلیل همبستگی نشان می­دهد که عوامل حکمرانی مانند کنترل فساد و کیفیت نظارتی برای همپایی اقتصادی در کشورهای با درآمد پایین و متوسط ​​بالا اثرات حیاتی دارند. کشورهای با درآمد بالا علی رغم نهادهای قوی با چالش‌های پس از همه‌گیری مواجه هستند و نوآوری نقش مهمی در حفظ همپایی آنها با اقتصادهای پیشرفته دارد. توصیه‌های سیاستی شامل تقویت کیفیت نهادی، سرمایه‌گذاری هدفمند در زیرساخت‌های دیجیتال، و تقویت همکاری بین‌المللی برای کاهش شوک‌های نامتقارن است.

Keywords [Persian]

  • همپایی اقتصادی
  • همگرایی
  • کووید 19
  • شوک بیرونی
  • گروه های درآمدی
Acemoglu, D., & Robinson, J. A. (2012). Why Nations Fail: The Origins of Power, Prosperity, and Poverty. Crown Publishing Group.
Acemoglu, D., Johnson, S., & Robinson, J. A. (2003). Disease and development in historical perspective. Journal of Economic History, 63(3), 635-678.
Aghion, P., Antonin, C., & Bunel, S. (2021). The power of creative destruction: Economic upheaval and the wealth of nations. Harvard University Press.
Baldwin, R., & W. di Mauro, B. (2020). Economics in the Time of COVID-19. CEPR Press.
Baldwin, R., & W. di Mauro, B. (2020). Mitigating the COVID Economic Crisis: Act Fast and Do Whatever It Takes. CEPR Press.
Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.
Barro, R. J., & Sala-i-Martin, X. (1995). Economic Growth. McGraw-Hill.
Bitler, M. P., Hoynes, H. W., & Schanzenbach, D. W. (2020). The social safety net in the wake of COVID-19. Brookings Papers on Economic Activity, 2020(2), 119-145.
Brodeur, A., Gray, D., Islam, A., & Bhuiyan, S. (2021). A literature review of the economics of COVID‐19. Journal of Economic Surveys, 35(4), 1007-1044.
 Brussevich M. and  Liu S. and, Papageorgiou C. (2022). Income Convergence or Divergence in the Aftermath of the COVID-19 Shock?, Working Paper No. 2022/121
Caliński, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3(1), 1–27. https://doi.org/10.1080/03610927408827101.
Cerra, V., & Saxena, S. C. (2008). Growth dynamics: The myth of economic recovery. American Economic Review, 98(1), 439-457.
Cerra, V., Fatás, A., & Saxena, S. C. (2022). Hysteresis and Business Cycles. Journal of Economic Perspectives, 36(1), 3-28.
Chetty, R., Friedman, J. N., Hendren, N., Stepner, M., & The Opportunity Insights Team. (2024). The economic impacts of COVID-19: Evidence from a new public database built using private sector data. The Quarterly Journal of Economics, 139, Issue 2, 829–889, https://doi.org/10.1093/qje/qjad048.
Daliri, H. (2024). The Role of Innovation in Changing the Path of Economic Catch-Up after the COVID 19 Pandemic. Innovation Economic Ecosystem Studies4(3), 1-18. doi: 10.22111/innoeco.2025.50062.1126
Diao, X., McMillan, M., & Rodrik, D. (2018). The recent growth boom in developing economies: A structural-change perspective. In G. Fields & G. Pfeffermann (Eds.), The role of global firms in global development (pp. 17-55). Oxford University Press.
Easterly, W., & Levine, R. (2003). Tropics, germs, and crops: How endowments influence economic development. Journal of Monetary Economics, 50(1), 3-39.
Fernandes, N. (2020). Economic effects of coronavirus outbreak (COVID-19) on the world economy. IESE Business School Working Paper No. WP-1240-E.
Frankel, J. A., & Romer, D. (1999). Does trade cause growth? American Economic Review, 89(3), 379-399.
Furceri, D., Loungani, P., Ostry, J. D., & Pizzuto, P. (2021). Will COVID-19 Have Long-Lasting Effects on Inequality? IMF Working Paper Series.
Gebka B. and R. P. Kanungo and J. Wildman (2024), The transition from COVID-19 infections to deaths: Do governance quality and corruption affect it?, Journal of Policy Modeling, 46, 2,  2024, 235-253.
Gerschenkron, A. (1962). Economic Backwardness in Historical Perspective. Belknap Press.
Gill, I. S., & Kharas, H. (2007). An East Asian renaissance: Ideas for economic growth. World Bank Publications.
Gopinath, G. (2020). The great lockdown: Worst economic downturn since the Great Depression. IMF Blog.
Hayashi, F., & Prescott, E. C. (2002). The 1990s in Japan: A lost decade. Review of Economic Dynamics, 5(1), 206-235.
Huang H., L. Zhao, (2024). Does digital innovation help firms navigate the COVID-19 pandemic? Evidence from China, Emerging Markets Review, 62, 101171, https://doi.org/10.1016/j.ememar.2024.101171
International Monetary Fund (IMF). (2021). World Economic Outlook: Managing Divergent Recoveries.
Jawad M., and M. Naz (2023), Impact of Covid-19 pandemic on macroeconomic aspects, Journal of Open Innovation: Technology, Market, and Complexity, 9, 3, 100126, https://doi.org/10.1016/j.joitmc.2023.100126
Jordà, Ò., Singh, S. R., & Taylor, A. M. (2020). Longer-run economic consequences of pandemics. NBER Working Paper No. 26934.
Kant C. (2019). Income convergence and the catch-up index, The North American Journal of Economics and Finance, 48, 613-627.
Kraay, A., & McKenzie, D. (2014). Do poverty traps exist? Assessing the evidence. Journal of Economic Perspectives, 28(3), 127-148.
Lee, K. (2019). Economics, Economic Development and GrowthInternational BusinessManagement, Cambridge University Press
Lee S. M. and S. Trimi (2021). Convergence innovation in the digital age and in the COVID-19 pandemic crisis, Journal of Business Research, 123, 14-22, https://doi.org/10.1016/j.jbusres.2020.09.041
Liu L. and H. Zheng and  Y. Peng and  F. Zhu and  T. Xue (2024). Different patterns of national innovation under COVID-19: The moderating role of culture, International Journal of Intercultural Relations, 103, 102058, https://doi.org/10.1016/j.ijintrel.2024.102058
Liu C., X. Sun, Q. Feng, X. Yao (2023). How did the macroeconomic sectors respond under the pandemic in China? Evidence from FAVAR model, Procedia Computer Science, 221, 488-492, https://doi.org/10.1016/j.procs.2023.08.005
Liu, W. and Y. Chu (2024). FinTech, economic growth, and COVID-19: International evidence, Asia Pacific Management Review, 29, 3, 362-367
Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42.
MacQueen, J. B. (1967). Some methods for classification and analysis of multivariate observations. In L. M. Le Cam & J. Neyman (Eds.), Proceedings of the fifth Berkeley symposium on mathematical statistics and probability (Vol. 1, pp. 281–297). California: University of California Press.
Maldonado, J. E., Vandeplas, A., & Vogel, L. (2021). The economic impact of COVID-19 learning deficits: A survey of the literature. European Commission Directorate-General for Economic and Financial Affairs.
Martinho V. J. P. D. (2021). Impact of Covid‐19 on the convergence of GDP per capita in OECD countries, Regional Science Policy & Practice, 13, 55-72, https://doi.org/10.1111/rsp3.12435
Mitze, T., & Makkonen, T. (2021). Can large-scale R&I funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19. arXiv preprint arXiv:2112.11562.
OECD. (2021). The Economic Impacts of COVID-19: Lessons Learned from the Pandemic. OECD Publishing.
Pichler, A., Pangallo, M., del Rio-Chanona, R. M., Lafond, F., & Farmer, J. D. (2020). Production networks and epidemic spreading: How to restart the UK economy?. arXiv preprint arXiv:2005.10585.
Pritchett, L. (1997). Divergence, big time. Journal of Economic Perspectives, 11(3), 3–17.
Ramey, G., & Ramey, V. A. (1995). Cross-country evidence on the link between volatility and growth. American Economic Review, 85(5), 1138-1151.
Reinhart, C. M., & Rogoff, K. S. (2009). This Time is Different: Eight Centuries of Financial Folly. Princeton University Press.
Rodrik, D. (1999). Institutions for high-quality growth: What they are and how to acquire them. Studies in Comparative International Development, 35(3), 3-31.
Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71–S102.
Rousseeuw P. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, 20, 53-65
Sala-i-Martin, X. (1996). The classical approach to convergence analysis. Economic Journal, 106(437), 1019–1036.
Solow, R. M. (1956). A contribution to the theory of economic growth. Quarterly Journal of Economics, 70(1), 65–94.
Sunge R., C. Mudzingiri, N. Mkhize (2024), The COVID-19 pandemic and economic recovery: The mediating role of governance, a global perspective, Heliyon, 10, 22, e39869, https://doi.org/10.1016/j.heliyon.2024.e39869
World Bank. (2022). World Development Report 2022: Finance for an Equitable Recovery.
Zheng H. (2023).Sovereign debt responses to the COVID-19 pandemic, Journal of International Economics, 143, 103766, https://doi.org/10.1016/j.jinteco.2023.103766.