2017
DOI: 10.1353/jda.2017.0041
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Determinants Of Financial Inclusion In Bangladesh: Dynamic Gmm & Quantile Regression Approach

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Cited by 48 publications
(42 citation statements)
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“…The value of GDP per capita has a positive and significant effect on financial inclusion in ASEAN at significance level of 5%. These results are in line with research by Park and Mercado (2015), Uddin et. al., (2017), David et.…”
Section: Relationship Of Financial Inclusion Indices With Achievementsupporting
confidence: 93%
See 1 more Smart Citation
“…The value of GDP per capita has a positive and significant effect on financial inclusion in ASEAN at significance level of 5%. These results are in line with research by Park and Mercado (2015), Uddin et. al., (2017), David et.…”
Section: Relationship Of Financial Inclusion Indices With Achievementsupporting
confidence: 93%
“…The results of the statistical analysis related to the determinants of financial inclusion (Table 2) show that the Literacy Rate has a positive and significant effect on economic integration in ASEAN with a significance level of 10%. This finding is in line with research by Sarma and Pias (2011), Park and Mercado (2015), Uddin et. al., (2017), Abel et.…”
Section: Relationship Of Financial Inclusion Indices With Achievementsupporting
confidence: 93%
“…Many researchers explored the determinants of financial sector development, but relatively a small number of studies have explored the determinants of financial inclusion. In this context, studies generally have centered on studying the impact of specific factors that affect financial inclusion such as gender, age, income, education, household size, employment sta-tus, marital status, trust level in financial institutions (Soumaré et al, 2016;Tchamyou et al, 2019aTchamyou et al, , 2019b, interest rate, bank size and efficiency (Uddin et al, 2017), financial literacy, innovation or infrastructure (Akileng et al, 2018;Grohmann et al, 2018). Despite the significance of the ITC and financial inclusion relationship, there are very few studies that have focused on this relation, therefore is a clear need for additional studies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Similarly, only 3% of Chadians borrowed from a formal financial institution whereas, on average, 8% of adults did so in SSA. The extant literature provides evidence that gender, education, income, age, residence area, work status, and trust in financial institutions are some of the individual level determinants of financial inclusion (Fungáčová & Weill, 2015;Soumaré et al, 2016;Zins & Weill, 2016), whereas population density, per capita GDP, employment, age dependency ratio, and internet usage are their macro level counterparts (Allen et al, 2014;Park & Mercado Jr, 2018;Sha'ban et al, 2019;Uddin et al, 2017).…”
Section: Introductionmentioning
confidence: 99%