Table 9 Correlations of cashless transactions’ adoption.
From: Communication dynamics: Fintech’s role in promoting sustainable cashless transactions
Variables | Marginal Effect | Standard Errors | Remarks |
|---|---|---|---|
Gender | H10a: ☒ | ||
Male | 0.068 | 0.203 | |
Female | 0.014 | 0.022 | |
Region | H10b: ☑ | ||
Urban | 0.096a | 0.026 | |
Rural | 0.044b | 0.022 | |
Marital Status | H10c: ☒ | ||
Unmarried | 0.124 | 0.123 | |
Married | 0.082 | 0.126 | |
Divorced | 0.069 | 0.079 | |
Widowed | 0.021 | 0.284 | |
Education | H10d: ☑ | ||
No education | 0.056 | 0.081 | |
Primary | 0.088 | 0.067 | |
Secondary | 0.176a | 0.047 | |
Intermediate | 0.249a | 0.054 | |
Graduation | 0.367a | 0.025 | |
Other | 0.046 | 0.851 | |
Age | 0.284b | 0.122 | H10e: ☑ |
Household Size | 0.037 | 0.034 | H10f: ☒ |
Household Income | 0.046 | 0.101 | H10g: ☒ |
Log Likelihood | −248.468 | ||
LR chi2 | 89.542 | ||
Prob.>chi2 | 0.000a | ||
Pseudo R2 | 0.216 | ||
N | 394 | ||
