| dc.contributor.author |
Giri, Arun Kumar |
|
| dc.date.accessioned |
2025-08-26T04:27:25Z |
|
| dc.date.available |
2025-08-26T04:27:25Z |
|
| dc.date.issued |
2025-06 |
|
| dc.identifier.uri |
https://www.emerald.com/ijoem/article-abstract/doi/10.1108/IJOEM-09-2024-1525/1265219/Can-digital-financial-inclusion-DFI-effectively?redirectedFrom=fulltext |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19235 |
|
| dc.description.abstract |
The study constructed a digital financial inclusion index using principal component analysis (PCA). To determine the long-run relationship among the identified variables, this study uses various panel econometric techniques such as cross-sectional dependence (CSD) tests; second-generation unit root tests including CIPS and CADF; Pedroni, Kao and Westerlund cointegration tests; CS-ARDL, Driscoll–Kraay (DK) standard error approach and Dumitrescu and Hurlin (D&H) causality tests. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Emerald |
en_US |
| dc.subject |
Economics |
en_US |
| dc.subject |
Digital financial inclusions |
en_US |
| dc.subject |
Poverty alleviation |
en_US |
| dc.subject |
Driscoll–Kraay standard error approach |
en_US |
| dc.subject |
Asian economies |
en_US |
| dc.title |
Can digital financial inclusion (DFI) effectively alleviate poverty? Evidence from Asian countries |
en_US |
| dc.type |
Article |
en_US |