Research Article

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

Table 4

Variable overview and assignment status, basic statistics, and coefficient symbol.

Variable nameVariable properties and assignment statusVariable assumed total scoreMeanStandard deviationCoefficient symbol

Dependent variableFinancial market participationDummy variable (more than one = 2, yes = 1, no = 0)  482.391.21
Insurance market participationDummy variable (yes = 2, no = 0)  121.860.51
Independent variableSubjective financial literacyDummy variable: self-awareness of financial products (good = 2, bad = 1, do not know = 0)  4104.722.29+
Order variable: self-assessment of financial knowledge (understand much = 2, general understanding = 1, do not understand = 0)  1
Objective financial literacyNumerical variable (specific score value/point)104.601.48+
Control variableGenderDummy variable (male = 1, female = 0)10.640.48+
AgeNumerical variable (specific age/year)Age51.7012.10First + then−
Education levelOrder variable (college and above = 5, high school, vocational high school or technical secondary school = 4, junior high school = 3, elementary school = 2, illiteracy = 1)52.701.14+
Health statusDummy variable (good = 2, general = 1, bad = 021.30079+
Marital statusDummy variable (married = 1, divorced, widowed, unmarried = 0)10.860.34+
Occupational statusOrder variable (state-owned enterprise = 6, private enterprise, individual = 5, e-commerce, rural enterprise = 4, working abroad = 3, part-time agriculture = 2, pure agriculture = 1)62.101.68+
Average annual income in the past two yearsNumerical variable (specific amount/10,000 yuan)Amount5.838.5+
Tool variableAttention to economic and financial informationOrder variable (pay close attention = 4, pay attention = 3, pay attention occasionally = 2, never pay attention = 1)41.891.47+