Research Article

Fintech Penetration, Financial Literacy, and Financial Decision-Making: Empirical Analysis Based on Tar

Table 5

Regression results of rural residents’ financial literacy on financial market participation models.

Model M1Model M2Model M3Model M4Model M5

VariableFinancial market participationFinancial market participationSubjective financial literacyFinancial market participationFinancial market participation
Subjective financial literacy
(15.81)(11.42)(3.23)
Objective financial literacy
(15.04)(18.52)(9.86)(3.84)
Cross-term of subjective and objective
Gender(1.51)
(−0.56)(−1.62)(−4.54)(−0.61)(−0.62)
Age
(−3.65)(−2.22)(4.20)(−3.24)(−3.19)
Age2
(2.43)(0.92)(−5.30)(2.17)(2.11)
Education level
(7.11)(7.59)(7.66)(5.95)(5.83)
Health status
(−2.16)(−0.99)(4.04)(−2.10)(−2.12)
Marital status
(−1.07)(−1.14)(−0.03)(−1.15)(−1.11)
Occupations
(2.91)(2.55)(1.37)(2.35)(2.29)
Average annual income
(4.24)(5.48)(5.52)(4.28)(4.20)
_cons
value (F test)(7.57)(5.19)(−0.85)(5.57)(5.77)
Endogenous test, value (χ2 statistics)0.000010.000010.000010.000010.00001
0.560.87
N22292232222922292229
R 20.3130.3040.3740.3420.342
r2_a0.310.300.370.340.34

Note: The significance level is 1%. The significance level is 5%. The significance level is 10%.