Digital Finance And Financial Metrics as A Tool For Financial Inclusion in Nepal Bagmati Province

Abstract

The purpose of this study is to investigate how financial metrics and digital finance may be used in the Nepalese province of Bagmati to promote financial inclusion. It assists in discovering the characteristics that enable digital financial inclusion by attempting to uncover the critical elements that analyze society behavior in this regard. With a quantitative methodology, panel data from 6400 respondents is used in the study. To investigate correlations between variables and choose the best model for analysis, descriptive statistics, unit root tests, correlation analysis, and the CFA model are used. ADB, UDB, CDB, GDB, and QDA were discovered to have an incredibly significant positive correlation in the current study. The current study also found that the regions of Nepal's Bagmati Province had a relatively high percentage of voluntary exclusion. but there was also a very good chance of switching to the use of QDA. By analyzing the effects of numerous financial measures and digital finance within the dynamic and cutthroat financial market of Bagmati province, this study adds to the body of knowledge on financial analysis. The results provide useful information to promote digital financial inclusion in Nepal's Bagmati Province and support well-informed financial decision-making that will improve the banking and financial sector.