Quantifying Impact, Uncovering Trends: A Comprehensive Bibliometric Analysis of Shadow Banking and Financial Contagion Dynamics

Abstract

This study describes a comprehensive bibliometric analysis of shadow banking and financial contagion dynamics from 1996 to 2022. Through a holistic approach, our study focuses on quantifying the impact and uncovering significant trends in scientific research related to these interconnected fields. Using advanced bibliometric methods, we explored the global network of publications, identifying key works, influential authors, and the evolution of research over time. The results of the bibliometric analysis have highlighted an annual growth rate of 22.05% in publications related to the topics of shadow banking and financial contagion, illustrating researchers’ interest and the dynamic nature of publications over time. Additionally, significant increases in scientific production have been recorded in recent years, reaching a total of 178 articles published in 2022. The most predominant keywords used in research include “systemic risks”, “risk assessment”, and “measuring systemic risk”. The thematic evolution has revealed that over time, the focus on fundamental concepts used in analyzing these two topics has shifted, considering technological advancements and disruptive events that have impacted the economic and financial system. Our findings provide a detailed insight into the progress, gaps, and future directions in understanding the complex interplay of shadow banking and financial contagion. Our study represents a valuable asset for researchers, practitioners, and policymakers with a keen interest in understanding the dynamics of these critical components within the global financial system.

The Dynamics of Commodity Research: A Multi-Dimensional Bibliometric Analysis

“…Scientific mapping, the process of visualizing and analyzing scientific literature, is complex and challenging due to the need to use various software tools and its multifaceted nature [12]. Bibliometric analysis is an essential method that is increasingly used in various research fields, such as analyzing the relationship between financial contagion and shadow banking [13], agentbased modeling and AI [14], cybernetics [15], social media [16], tourism [17], forecasting emerging technology [18], etc.…”

“…For example, Scopus has 27 million documents, while WoS has 23 million. Our bibliometric approach follows the same methodology found in other bibliometric research, such as analyzing the relationship between the shadow banking sector and financial contagion effects [13], discovering patterns in fuzzy logic and artificial intelligence [21], analyzing the quality of the educational system [22], and so forth. Table 1 outlines the steps we took in data extraction.…”

Simulation and Modelling as Catalysts for Renewable Energy: A Bibliometric Analysis of Global Research Trends

“…Several sources emphasize the benefits provided by this function in RStudio due to the diverse functionalities it offers in a bibliometric analysis process. The "biblioshiny ()" function enables data extraction from multiple sources, including Web of Science (WoS), Scopus, and Dimensions [14,17,18]. Additionally, it offers the possibility to conduct quantitative and qualitative analyses supported by the ability to create graphical and interactive visualizations such as networks, diagrams, cluster analyses, and geographic maps [19].…”