Figure 5
A keyword co-occurrence network map shows clustered terms like digital finance, fintech, e-finance, china, and finance.The network displays multiple clusters of nodes, each represented by circles with labels, connected by thin lines indicating relationships, with labels adjacent to the nodes. At the center, a large blue node labeled “digital finance” is directly connected to several nodes including “digital financial inclusion,” “digital transformation,” “digital economy,” “fintech,” “financial inclusion,” “financial system,” and “financial services.” This forms a dense blue grouping. Toward the lower center, a red cluster is centered on nodes such as “finance,” “economic growth,” “sustainability,” “regression analysis,” “sustainable development,” and “environmental economics.” Nearby, “china” appears as another key orange node connected to both “digital finance” and “economic growth.” On the upper right, a green cluster includes “fintech,” “financial technology,” “financial risk,” “peer-to-peer lending,” “artificial intelligence,” “machine learning,” and “blockchain.” Toward the far right, a yellow cluster contains nodes such as “e-finance,” “electronic banking,” “internet banking,” “electronic finance,” “technology acceptance model,” and “perceived risk.” At the upper left, an orange cluster contains “heterogeneity,” and “technological progress.” At the bottom left, a purple cluster includes nodes such as “financial constraints,” “natural resources,” and “economic growth.” A small “VOSviewer” logo appears at the bottom-left corner.

Co-occurrence of keywords. Note: Visualizing the conceptual structure of the field by mapping frequently co-occurring keywords. Source(s): Authors’ own work (extracted from Biblioshiny software)

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