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Table 10 The impact of education on e-cash use

From: Factors affecting consumer acceptance of electronic cash in China: an empirical study

Hypothesis

Edu = 1

Edu = 2

Edu = 3

Coefficient

p value

Coefficient

p value

Coefficient

p value

\({\text{H}}_{1} :{\text{PEoU}} \to {\text{PU}}\)

0.869

< 0.001

0.760

< 0.001

.780

< 0.001

\({\text{H}}_{2} :{\text{PU}} \to {\text{A}}\)

0.164

< 0.001

0.207

< 0.001

.380

< 0.001

\({\text{H}}_{3} :{\text{PeoU}} \to {\text{A}}\)

0.814

> 0.05

0.754

< 0.001

.536

< 0.001

\({\text{H}}_{4} :{\text{A}} \to {\text{Intenion}}\)

0.533

> 0.05

0.712

< 0.001

.911

> 0.001

\({\text{H}}_{5} :{\text{GP}} \to {\text{Intention}}\)

0.006

> 0.05

− 0.033

> 0.05

.031

> 0.05

\({\text{H}}_{6} :{\text{PS}} \to {\text{Intention}}\)

0.286

< 0.001

0.275

< 0.001

.028

> 0.05

\({\text{H}}_{7} :{\text{Cost}} \to {\text{Intention}}\)

0.024

> 0.05

0.059

< 0.001

− .097

> 0.05

\({\text{H}}_{8} :{\text{SI}} \to {\text{Intention}}\)

0.071

< 0.05

− 0.078

< 0.001

.084

> 0.05

\({\text{H}}_{9} :{\text{Intention}} \to {\text{AU}}\)

0.391

< 0.001

0.418

< 0.001

0.217

> 0.05