Table 4

Linear regression analysis. Dependent variable: INDSUP

Independent variablesM1M2M3M4
Provinces
Cadiz−0.104*−0.086−0.060−0.071
Granada−0.182**−0.170**−0.134*−0.168**
Jaen−0.144*−0.102*−0.066−0.089
Seville−0.018−0.051−0.055−0.061
Sociodemographic
Female gender −0.254***−0.241***−0.215***
From 25 to 34 years 0.185**0.164*0.175**
From 35 to 44 years 0.144*0.138*0.180**
From 45 to 54 years 0.143*0.120*0.154*
From 55 to 64 years 0.001−0.0350.010
No studies 0.0010.0160.035
Secondary school 0.253***0.213***0.165***
High school/Vocational training 0.311***0.278***0.221***
University 0.435***0.387***0.279***
Full-time job 0.05850.0600.055
Part-time job 0.1040.0900.105
Self-employed 0.104***0.279***0.296***
Entrepreneurial expectations
Potential entrepreneurs  0.396***0.364***
Current entrepreneurs  0.482***0.399***
Owners  0.497***0.431***
Closure  0.417**0.306*
Fear of failure  −0.208***−0.198***
Entrepreneurial experiences
Intrapreneurship   0.686***
Entrepreneurship education   −0.319***
Entrepreneurial financing   0.444***
R20.00540.12790.17080.2103

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 = 0.0089; 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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