Determinants of Financial Inclusion in Pakistan

This study explores how digital financial literacy, Fintech usage, social influence, and usability affect financial inclusion in Pakistan, where the digital finance landscape is rapidly changing but financial inclusion remains low. Using a structured questionnaire, we surveyed Fintech clients as part of a quantitative approach. We then analysed the results using statistical packages for descriptive statistics and Structural Equation Modelling (SEM). Our findings show that each of the four factors has a significant and positive impact on financial inclusion. Notably, Fintech use and usability have the most predictive potential, followed by social impact and digital financial literacy. The structural model indicates a 42.9% variation in financial inclusion, suggesting a moderate level of predictive accuracy. These results underscore the importance of integrating access to financial technology with opportunities to empower users through digital skills development, platform usability, and social network engagement. The study provides key recommendations for policymakers, Fintech developers, and financial service providers on how to promote financial inclusion through approachable, accessible, and socially acceptable solutions. Ultimately, our study shows that deliberate efforts to increase digital financial inclusion can lead to equitable growth and economic empowerment in Pakistan.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18229479
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Financial Inclusion in Pakistan

Erum Fatima (Ph.D), Subeika Rizvi (Ph.D)
Zenodo (CERN European Organization for Nuclear Research)
Microfinance and Financial Inclusion
article

Determinants of Financial Inclusion in Pakistan

Erum Fatima (Ph.D), Subeika Rizvi (Ph.D)
article en

Abstract

This study explores how digital financial literacy, Fintech usage, social influence, and usability affect financial inclusion in Pakistan, where the digital finance landscape is rapidly changing but financial inclusion remains low. Using a structured questionnaire, we surveyed Fintech clients as part of a quantitative approach. We then analysed the results using statistical packages for descriptive statistics and Structural Equation Modelling (SEM). Our findings show that each of the four factors has a significant and positive impact on financial inclusion. Notably, Fintech use and usability have the most predictive potential, followed by social impact and digital financial literacy. The structural model indicates a 42.9% variation in financial inclusion, suggesting a moderate level of predictive accuracy. These results underscore the importance of integrating access to financial technology with opportunities to empower users through digital skills development, platform usability, and social network engagement. The study provides key recommendations for policymakers, Fintech developers, and financial service providers on how to promote financial inclusion through approachable, accessible, and socially acceptable solutions. Ultimately, our study shows that deliberate efforts to increase digital financial inclusion can lead to equitable growth and economic empowerment in Pakistan.

Zenodo (CERN European Organization for Nuclear Research)
DHA Suffa University (PK)
Reduced inequalities, Quality Education
Openalex Percentile: Top 16%
Microfinance and Financial Inclusion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.