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

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.

 

  • Page Number : 18-32

  • Published Date : 2026-02-09

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

  • DOI Number
    10.15415/jtmge/2025.162002

  • Authors
    Sukhmani Bhatia, Archana Goel, and Jayalakshmy Ramachandran

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