Bibliometric Analysis of Global Economic Policy Uncertainty: Over the Last Decade

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Published: February 9, 2026

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Authors

Sukhmani Bhatia, Archana Goel, and Jayalakshmy Ramachandran

DOI Number
https://doi.org/10.15415/jtmge/2025.162002

Keywords
Global economic policy uncertainty, Bibliometric analysis, Economic policy, Uncertainty

Abstract

Purpose: The study aims to provide a bibliometric analysis of the topic of global economic policy uncertainty (GEPU) by compiling the last ten years’ worth of research in the field. The study reveals trends in publications, pinpoints theme areas within the field of GEPU, evaluates the gap, and suggests potential avenues of research.

Methods: Data for the analysis were taken from the Scopus database over ten years, from 2014 to 2023. The first search yielded 151 publications in total, of which 129 were selected for further screening and analysis using VOSviewer software.

Findings: Following uncertainty and GEPU, the main themes that arose from the keyword co-occurrence analysis were COVID-19 and stock returns. Several studies examined the GEPU index’s predictive ability using the GARCH-MIDAS model. The investigation revealed investment in alternative financial assets and commodities markets as the main themes, and China as the leading country in research in this field.

Implications: By offering systematic and integrated research and synthesizing all the earlier published findings, this study significantly advances the emerging subject of GEPU. It also highlights the research gap examining the impact of GEPU on firm-level outcomes.

Originality: There are hardly any studies that focus on the importance of GEPU, and a bibliometric analysis compiling the studies of GEPU is rare to find. The study not only documents the trend clusters but also highlights the importance of GEPU as a policy tool.

References

Ahmad, P., Asif, J. A., Alam, M. K., & Slots, J. (2020). A bibliometric analysis of Periodontology 2000. Periodontology 2000, 82(1), 286–297. https://doi.org/10.1111/prd.12328
Arora, M., Prakash, A., Dixit, S., Mittal, A., & Singh, S. (2023). A critical review of HR analytics: Visualization and bibliometric analysis approach. Information Discovery and Delivery, 51(3), 267–282. https://doi.org/10.1108/IDD-05-2022-0038
Bai, L., Wei, Y., Wei, G., Li, X., & Zhang, S. (2021). Infectious disease pandemic and permanent volatility of international stock markets: A long-term perspective. Finance Research Letters, 40, 101709. https://doi.org/10.1016/j.frl.2020.101709
Baker, H. K., Kumar, S., Goyal, K., & Sharma, A. (2021). International Review of Financial Analysis: A retrospective evaluation between 1992 and 2020. International Review of Financial Analysis, 78, 101946. https://doi.org/10.1016/j.irfa.2021.101946
Balli, F., Shahzad, S. J. H., & Uddin, G. S. (2018). A tale of two shocks: What do we learn from the impacts of economic policy uncertainties on tourism? Tourism Management, 68, 470–475. https://doi.org/10.1016/j.tourman.2018.04.008
Bartol, T., Budimir, G., Dekleva-Smrekar, D., Pusnik, M., & Juznic, P. (2014). Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia. Scientometrics, 98, 1491–1504. https://doi.org/10.1007/s11192-013-1148-8
Bartolini, E., Bottani, E., & Grosse, E. H. (2019). Green warehousing: Systematic literature review and bibliometric analysis. Journal of Cleaner Production, 226, 242–258. https://doi.org/10.1016/j.jclepro.2019.04.055
Bhatt, Y., Ghuman, K., & Dhir, A. (2020). Sustainable manufacturing: Bibliometrics and content analysis. Journal of Cleaner Production, 260, 120988. https://doi.org/10.1016/j.jclepro.2020.120988
Bhukya, R., Paul, J., Kastanakis, M., & Robinson, S. (2022). Forty years of European Management Journal: A bibliometric overview. European Management Journal, 40(1), 10–28. https://doi.org/10.1016/j.emj.2021.04.001
Bilgin, M. H., Gozgor, G., Lau, C. K. M., & Sheng, X. (2018). The effects of uncertainty measures on the price of gold. International Review of Financial Analysis, 58, 1–7. https://doi.org/10.1016/j.irfa.2018.03.009
Canh, N. P., Binh, N. T., Thanh, S. D., & Schinckus, C. (2020). Determinants of foreign direct investment inflows: The role of economic policy uncertainty. International Economics, 161, 159–172. https://doi.org/10.1016/j.inteco.2019.11.012
Carrière-Swallow, Y., & Céspedes, L. F. (2013). The impact of uncertainty shocks in emerging economies. Journal of International Economics, 90(2), 316–325. https://doi.org/10.1016/j.jinteco.2013.03.003
Chawla, R. N., & Goyal, P. (2022). Emerging trends in digital transformation: A bibliometric analysis. Benchmarking: An International Journal, 29(4), 1069–1112. https://doi.org/10.1108/BIJ-01-2021-0009
Davis, S. J. (2016). An index of global economic policy uncertainty (Working Paper No. 22740). National Bureau of Economic Research. https://doi.org/10.3386/w22740
Donadelli, M., & Persha, L. (2014). Understanding emerging market equity risk premia: Industries, governance, and macroeconomic policy uncertainty. Research in International Business and Finance, 30, 284–309. https://doi.org/10.1016/j.ribaf.2013.09.008
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Fang, L., Bouri, E., Gupta, R., & Roubaud, D. (2019). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 61, 29–36. https://doi.org/10.1016/j.irfa.2018.12.010
Fang, L., Chen, B., Yu, H., & Qian, Y. (2018). The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH-MIDAS approach. Journal of Futures Markets, 38(3), 413–422. https://doi.org/10.1002/fut.21897
Fetscherin, M., & Heinrich, D. (2015). Consumer brand relationships research: A bibliometric citation meta-analysis. Journal of Business Research, 68(2), 380–390. https://doi.org/10.1016/j.jbusres.2014.06.010
Goyal, S., Chauhan, S., & Mishra, P. (2021). Circular economy research: A bibliometric analysis (2000–2019) and future research insights. Journal of Cleaner Production, 287, 125011. https://doi.org/10.1016/j.jclepro.2020.125011
Gupta, K., Kumar, C., Deshpande, A., Mittal, A., Chopade, P., & Raut, R. (2024). Internet gaming addiction: A bibliometric review. Information Discovery and Delivery, 52(1), 62–72. https://doi.org/10.1108/IDD-10-2022-0101
Hafeez, D. M., Jalal, S., & Khosa, F. (2019). Bibliometric analysis of manuscript characteristics that influence citations: A comparison of six major psychiatry journals. Journal of Psychiatric Research, 108, 90–94. https://doi.org/10.1016/j.jpsychires.2018.07.010
Khanra, S., Dhir, A., Islam, A. N., & Mäntymäki, M. (2020). Big data analytics in healthcare: A systematic literature review. Enterprise Information Systems, 14(7), 878–912. https://doi.org/10.1080/17517575.2020.1812005
Koenigsmarck, M., & Geissdoerfer, M. (2021). Mapping socially responsible investing: A bibliometric and citation network analysis. Journal of Cleaner Production, 296, 126376. https://doi.org/10.1016/j.jclepro.2021.126376
Kumar, S., Sureka, R., & Colombage, S. (2020). Capital structure of SMEs: A systematic literature review and bibliometric analysis. Management Review Quarterly, 70, 535–565. https://doi.org/10.1007/s11301-019-00175-4
Li, T., Ma, F., Zhang, X., & Zhang, Y. (2020). Economic policy uncertainty and the Chinese stock market volatility: Novel evidence. Economic Modelling, 87, 24–33. https://doi.org/10.1016/j.econmod.2019.07.002
Li, Z., & Zhong, J. (2020). Impact of economic policy uncertainty shocks on China’s financial conditions. Finance Research Letters, 35, 101303. https://doi.org/10.1016/j.frl.2019.101303
Lian, Z., Sun, W., Xie, D., & Zheng, J. (2021). Cultural difference and China’s cross-border M&As: Language matters. International Review of Economics and Finance, 76, 1205–1218. https://doi.org/10.1016/j.iref.2019.11.009
Long, S., Pei, H., Tian, H., & Lang, K. (2021). Can both Bitcoin and gold serve as safe-haven assets? A comparative analysis based on the NARDL model. International Review of Financial Analysis, 78, 101914. https://doi.org/10.1016/j.irfa.2021.101914
Lyu, Y., Tuo, S., Wei, Y., & Yang, M. (2021). Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility. Resources Policy, 70, 101943. https://doi.org/10.1016/j.resourpol.2020.101943
Mahadevan, K., & Joshi, S. (2021). Omnichannel retailing: A bibliometric and network visualization analysis. Benchmarking: An International Journal, 29(4), 1113–1136. https://doi.org/10.1108/BIJ-12-2020-0622
Mall, S., Panigrahi, T. R., & Verma, S. (2023). Bibliometric analysis on big data applications in the insurance sector. Journal of Financial Management, Markets and Institutions, 2330001. https://doi.org/10.1142/S2282717X23300015
Miskiewicz, R. (2020). Internet of things in marketing: Bibliometric analysis. Marketing and Management of Innovations, 3(3), 371–381. https://doi.org/10.21272/mmi.2020.3-27
Mühl, D. D., & de Oliveira, L. (2022). A bibliometric and thematic approach to agriculture 4.0. Heliyon, 8(5), e09369. https://doi.org/10.1016/j.heliyon.2022.e09369
Owusu, G. M. Y., & Korankye, G. (2023). The state of ethical decision-making research in accounting. Business Ethics, Environment and Responsibility, 32(2), 1–16. https://doi.org/10.1111/beer.12519
Ozcelebi, O. (2021). Assessing the impacts of global economic policy uncertainty and long-term bond yields on oil prices. Applied Economic Analysis, 29(87), 226–244. https://doi.org/10.1108/AEA-05-2020-0046
Paltrinieri, A., Hassan, M. K., Bahoo, S., & Khan, A. (2019). A bibliometric review of Sukuk literature. International Review of Economics and Finance. https://doi.org/10.1016/j.iref.2019.04.004
Pranckutė, R. (2021). Web of Science and Scopus: The titans of bibliographic information. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
Qin, M., Su, C. W., & Tao, R. (2021). Bitcoin: A new basket for eggs? Economic Modelling, 94, 896–907. https://doi.org/10.1016/j.econmod.2020.02.031
Shankar, N. (2020). Role of global economic policy uncertainty on firms’ innovation participation. Transnational Corporations Review, 12(4), 360–378. https://doi.org/10.1080/19186444.2020.1832425
Sharma, C., & Khanna, R. (2023). Does global economic policy uncertainty drive tourism demand? Journal of Policy Research in Tourism, Leisure and Events, 15(1), 106–113. https://doi.org/10.1080/19407963.2021.1916510
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Xu, Z. (2020). Economic policy uncertainty, cost of capital, and corporate innovation. Journal of Banking & Finance, 111, 105698. https://doi.org/10.1016/j.jbankfin.2019.105698
Zhou, Y., Liu, Z., & Wu, S. (2022). Global economic policy uncertainty spillover during COVID-19. Research in International Business and Finance, 61, 101666. https://doi.org/10.1016/j.ribaf.2022.101666

How to Cite

Sukhmani Bhatia, Archana Goel, and Jayalakshmy Ramachandran. Bibliometric Analysis of Global Economic Policy Uncertainty: Over the Last Decade. J.Technol. Manag. Grow. Econ.. 2025, 16, 18-32

Bibliometric Analysis of Global Economic Policy Uncertainty: Over the Last Decade

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