Table 5

Linear regression analysis. Dependent variable: CULSUP

Independent variablesM1M2M3M4
Provinces
Cadiz−0.070−0.083−0.081−0.080
Granada−0.018−0.036−0.028−0.031
Jaen0.0820.0470.0490.051
Seville−0.0120.0070.0100.012
Sociodemographic
Female gender −0.054−0.054−0.050
From 25 to 34 years −0.044−0.041−0.039
From 35 to 44 years −0.053−0.047−0.038
From 45 to 54 years −0.194**−0.193**−0.186**
From 55 to 64 years −0.162*−0.152*−0.139*
No studies 0.0680.0670.074
Secondary school −0.023−0.028−0.036
High school/Vocational training −0.150*−0.154*−0.164*
University −0.175**−0.191**−0.203**
Full-time job −0.049−0.046−0.044
Part-time job −0.173*−0.171*−0.167*
Self-employed 0.140*0.1190.123
Entrepreneurial expectations
Potential entrepreneurs  0.0680.071
Current entrepreneurs  0.246*0.249*
Owners  −0.021−0.037
Closure  −0.197−0.204
Fear of Failure  0.0210.022
Entrepreneurial experiences
Intrapreneurship   −0.070
Entrepreneurship education   −0.072*
Entrepreneurial financing   −0.120
R20.00250.01980.02320.0250

Note(s): Significance level: ***p < 0.001; **p < 0.01; *p < 0.1. Reference categories: Provinces (Malaga), Sociodemographic variables (Male gender, Age 18–24 years, Primary school, Unemployed). N = 2,500. X2 M1 = 0.1774; X2 M2, M3, M4 = 0.0000

Source(s): Author's own elaboration based on the results obtained from the multivariate analysis

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