Global Economic Slowdown and Economic Growth Stability in Developing Countries: Evidence from Two-Way Fixed Effects Panel Data Analysis, 2010–2024

Authors

  • Sabarno Dwirianto Management Department, Faculty of Economic and Social Science, State Islamic University of Sultan Syarif Kasim Riau, Riau, Indonesia
  • Roza Linda Management Department, Faculty of Economic and Social Science, State Islamic University of Sultan Syarif Kasim Riau, Riau, Indonesia
  • Abdulla Al Mamun School of Earth Sciences and Engineering Hohai University, Nanjing, China
  • Atika Ananda Sabrina Febriman Siregar Public Appraisal Office, Riau, Indonesia

DOI:

https://doi.org/10.32492/JPP.V10i1.10104

Keywords:

Global Economic Slowdown, Economic Growth Stability, Developing Countries, Panel Data Regression, Macroeconomic Resilience.

Abstract

Growth volatility, rather than merely reduced average growth, constitutes an underexplored welfare-critical consequence of global economic slowdowns in developing countries. Using a two-way fixed effects panel regression on 10 developing countries over 2010–2024, validated through Driscoll-Kraay correction and System-GMM endogeneity control, this study estimates how global GDP growth contractions amplify domestic output volatility operationalized as the rolling five-year standard deviation of annual real GDP growth rates and examines the conditioning roles of trade openness, foreign direct investment (FDI), and inflation as macroeconomic channels. Four robust findings emerge: (1) global slowdowns significantly increase growth volatility (β = −0.482, p < 0.001); (2) trade openness stabilizes growth under normal conditions (β = 0.214, p < 0.05); (3) FDI exhibits the strongest stabilizing effect (β = 0.367, p < 0.001), robust to endogeneity correction; and (4) inflation amplifies volatility by eroding countercyclical monetary policy space (β = −0.291, p < 0.001). These findings reframe growth volatility as the primary indicator of macroeconomic resilience, with policy implications for export diversification, countercyclical FDI frameworks, and central bank institutional independence as structural components of shock absorption capacity in developing economies.

References

Ahiadorme, J. W. (2022). Inflation and economic growth: Evidence from West Africa. Journal of Economic Studies, 49(4), 770–784. https://doi.org/10.1108/JES-01-2021-0016

Aghion, P., Angeletos, G. M., Banerjee, A., & Manova, K. (2010). Volatility and growth: Credit constraints and the composition of investment. Journal of Monetary Economics, 57(3), 246–265. https://doi.org/10.1016/j.jmoneco.2010.02.005

Benita, F. J. (2023). Trade dynamics in developing countries during global contractions. Journal of International Development, 35(2), 189–210. https://doi.org/10.1002/jid.3657

Blanchard, O., & Galí, J. (2007). Real wage rigidities and the new Keynesian model. Journal of Money, Credit and Banking, 39(s1), 35–65. https://doi.org/10.1111/j.1538-4616.2007.00015.x

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8

Boachie, M. K., et al. (2023). Global downturns and developing country growth: Panel evidence. Journal of Development Economics, 161, 102967. https://doi.org/10.1016/j.jdeveco.2022.102967

Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political Analysis, 14(1), 63–82. https://doi.org/10.1093/pan/mpi014

Breitenbach, M. C., et al. (2022). Institutional quality, diversification, and shock absorption in developing countries. World Development, 149, 105703. https://doi.org/10.1016/j.worlddev.2021.105703

Cesa-Bianchi, A., & Sokol, A. (2022). Financial shocks, credit spreads, and the international transmission of shocks. IMF Economic Review, 70(1), 80–107. https://doi.org/10.1057/s41308-021-00143-x

Chang, R., & Li, M. (2024). Growth volatility in developing economies: A panel data analysis. Emerging Markets Finance and Trade, 60(3), 510–528. https://doi.org/10.1080/1540496X.2023.2258301

Claessens, S., & Kose, M. A. (2018). Frontiers of macrofinancial linkages. IMF Working Paper No. 18/01. https://doi.org/10.5089/9781484338292.001

Foabeh, E., & Aumeboonsuke, V. (2025). FDI and growth stability in developing economies. International Review of Economics and Finance, 94, 103570. https://doi.org/10.1016/j.iref.2024.103570

Hnatkovska, V., & Loayza, N. (2005). Volatility and growth. In J. Aizenman & B. Pinto (Eds.), Managing economic volatility and crises: A practitioner's guide (pp. 65–100). Cambridge University Press. https://doi.org/10.1017/CBO9780511510755.005

Hsiao, C. (2014). Analysis of panel data (3rd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9781139839327

IMF. (2024). World Economic Outlook Update, January 2024. International Monetary Fund. https://www.imf.org/en/Publications/WEO

Kose, M. A., Prasad, E. S., & Terrones, M. E. (2003). How does globalization affect the synchronization of business cycles? American Economic Review, 93(2), 57–62. https://doi.org/10.1257/000282803321946804

Kose, M. A., Prasad, E. S., & Terrones, M. E. (2006). How do trade and financial integration affect the relationship between growth and volatility? Journal of International Economics, 69(1), 176–202. https://doi.org/10.1016/j.jinteco.2005.05.009

Loayza, N., Ranciére, R., Servén, L., & Ventura, J. (2007). Macroeconomic volatility and welfare in developing countries. World Bank Economic Review, 21(3), 343–357. https://doi.org/10.1093/wber/lhm017

Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69–85. https://doi.org/10.2307/1913646

Müller, C., et al. (2025). Methodological advances in macroeconomic panel research. Journal of Applied Econometrics, 40(1), 1–22. https://doi.org/10.1002/jae.3098

Obstfeld, M., & Rogoff, K. (1996). Foundations of international macroeconomics. MIT Press. https://doi.org/10.7551/mitpress/3528.001.0001

Okegbemi, O. (2024). Heterogeneous transmission of global shocks in developing economies. Development Economics, 52(1), 45–72. https://doi.org/10.1016/j.deveco.2023.103178

Olamide, E., et al. (2022). Inflation, monetary policy credibility, and macroeconomic stability. Journal of African Business, 23(3), 612–632. https://doi.org/10.1080/15228916.2021.1882593

Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. CESifo Working Paper No. 1229. https://doi.org/10.17863/CAM.5113

Priyatna, M., & Suryadi, B. (2025). Inflation and investment dynamics in developing countries. Asian Economic Journal, 39(1), 88–108. https://doi.org/10.1111/asej.12329

Ramey, G., & Ramey, V. A. (1995). Cross-country evidence on the link between volatility and growth. American Economic Review, 85(5), 1138–1151. https://doi.org/10.2307/2950979

Ravn, M. O., & Uhlig, H. (2002). On adjusting the HP filter for the frequency of observations. Review of Economics and Statistics, 84(2), 371–376. https://doi.org/10.1162/003465302317411604

Rey, H. (2015). Dilemma not trilemma: The global financial cycle and monetary policy independence. NBER Working Paper No. 21162. https://doi.org/10.3386/w21162

Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86–136. https://doi.org/10.1177/1536867X0900900106

Sarin, V., et al. (2022). Export diversification and economic growth stability. Review of International Economics, 30(4), 1108–1125. https://doi.org/10.1111/roie.12597

Stamm, A., & Vorisek, D. (2023). Global economic conditions and developing country growth levels. World Bank Policy Research Working Paper No. 10325. https://doi.org/10.1596/1813-9450-10325

Ullah, S., et al. (2024). Growth volatility determinants in developing economies: Panel evidence. Economic Modelling, 130, 106580. https://doi.org/10.1016/j.econmod.2023.106580

UNCTAD. (2024). World Investment Report 2024. United Nations Conference on Trade and Development. https://unctad.org/wir2024

Wang, C., et al. (2024). Trade openness and macroeconomic stability in developing economies. Journal of International Trade and Economic Development, 33(2), 220–244. https://doi.org/10.1080/09638199.2023.2244831

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press. https://doi.org/10.7551/mitpress/9780262232586.001.0001

Wooldridge, J. M. (2021). Two-way fixed effects, the two-way Mundlak regression, and difference-in-differences estimators. SSRN Working Paper. https://doi.org/10.2139/ssrn.3982545

World Bank. (2024). Global Economic Prospects, January 2024. World Bank Group. https://doi.org/10.1596/978-1-4648-2017-5

Zhang, L., et al. (2023). FDI flows during global economic contractions. Journal of International Business Studies, 54(6), 1123–1145. https://doi.org/10.1057/s41267-022-00571-z

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Published

2026-06-29

How to Cite

Dwirianto, S., Linda, R., Al Mamun, A., & Sabrina, A. A. (2026). Global Economic Slowdown and Economic Growth Stability in Developing Countries: Evidence from Two-Way Fixed Effects Panel Data Analysis, 2010–2024. Journal of Public Power, 10(1), 64–77. https://doi.org/10.32492/JPP.V10i1.10104