How does financial literacy impact on inclusive finance?

Financial Innovation

Table 8 Regression result of FinTech access and financial literacy.

This model presents the association between financial literacy and FinTech access. Part A of the logit model shows − 182.95 log-likelihood, LR chi² (5) is 679.05, and model fits at 65% Pseudo R² value; where part B shows − 173.75 log-likelihood, LR chi² (8) is 697.46, and model fits at 67% Pseudo R² value. On the other hand, Part A of the Probit model shows − 181.77 log-likelihood, LR chi² (5) is 681.4, and the model fits at 65% Pseudo R² value; where part B shows − 176.63 log-likelihood, LR chi² (8) is 695.7, and model fits at 67% Pseudo R² value. The value of Prob > chi² is 0.000 for all models, and the observation of A & B is 852. ***, **, *refer significance level at 99%, 95%, 90%, respectively. The value within the first bracket is the standard error value