Measuring Digital Financial Inclusion Across the Globe: A New Multidimensional Index

In this paper, a new index of digital financial inclusion is developed using the access, usage, and availability dimensions of digital financial inclusion. The two-stage principal component analysis is applied to develop an index using the IMF financial access survey data for 68 countries from the year 2014-2021. The countries are further divided into four groups using World Bank income classifications. The new index proposed in this study covers 68 countries based on continuous data from the IMF FAS survey. The index is a contribution to the ongoing literature on digital finance and will be used as a device to measure digital financial inclusion. The results show that the high-income countries are technologically advanced and have a higher ranking in digital financial inclusion while the upper middle (UMIC) and lower-middle-income countries (LMIC) are making steady progress with respect to the digitization of the financial sector while low-income countries are less digitally inclusive due to lack of digital infrastructure. Moreover, they have the problem of a lack of digital finance data. International financial institutions i.e. The World Bank, IMF, and national financial institutions such as central banks should work towards a vibrant and digitally inclusive financial sector.

Authors

Institutions

Publication Details

Journal
Qlantic Journal of Social Sciences and Humanities
Published
2024-12-30
DOI
https://doi.org/10.55737/qjssh.v-iv.24276
Citations
1
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Digital Financial Inclusion Across the Globe: A New Multidimensional Index

Muhammad Asim Afridi, Muhammad Tahir, Muhammad Idrees
1 citations
Qlantic Journal of Social Sciences and Humanities
Economic Growth and Development
0.78
article

Measuring Digital Financial Inclusion Across the Globe: A New Multidimensional Index

Muhammad Asim Afridi, Muhammad Tahir, Muhammad Idrees
article en
1 citations

Abstract

In this paper, a new index of digital financial inclusion is developed using the access, usage, and availability dimensions of digital financial inclusion. The two-stage principal component analysis is applied to develop an index using the IMF financial access survey data for 68 countries from the year 2014-2021. The countries are further divided into four groups using World Bank income classifications. The new index proposed in this study covers 68 countries based on continuous data from the IMF FAS survey. The index is a contribution to the ongoing literature on digital finance and will be used as a device to measure digital financial inclusion. The results show that the high-income countries are technologically advanced and have a higher ranking in digital financial inclusion while the upper middle (UMIC) and lower-middle-income countries (LMIC) are making steady progress with respect to the digitization of the financial sector while low-income countries are less digitally inclusive due to lack of digital infrastructure. Moreover, they have the problem of a lack of digital finance data. International financial institutions i.e. The World Bank, IMF, and national financial institutions such as central banks should work towards a vibrant and digitally inclusive financial sector.

Qlantic Journal of Social Sciences and HumanitiesVol. 5(4)
COMSATS University Islamabad (PK), Abbottabad University of Science and Technology (PK)
Reduced inequalities
Openalex Percentile: Top 18%
Economic Growth and Development
0.78
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.