Entrepreneurial Intention in the Visegrad Countries

Andrea S. Gubik; Szilveszter Farkas

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Entrepreneurial Intention in the Visegrad Countries

Andrea S. Gubik

Szilveszter Farkas

| 31 dic 2019

DANUBE

Volume 10 (2019): Numero 4 (December 2019)

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Pubblicato online: 31 dic 2019

Pagine: 347 - 368

DOI: https://doi.org/10.2478/danb-2019-0018

Parole chiave
Entrepreneurship, Entrepreneurial Intention, Visegrad Countries, Higher Education, GUESSS Research

© 2019 Andrea S. Gubik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Theory of planned behaviorSource: Ajzen 2006a

Differences of the Ajzen model’s elements by Visegrad countries (own calculation)

Coefficients of the Visegrad Countries

V4	Model	Unstandardized Coeff.		Standardized Coeff.	t	Sig.	Correlations			Collinearity Statistics

		B	Std. Error	Beta			Zero-order	Partial	Part	Tolerance	VIF
HUN	(Constant)	−.421	.086		−4.927	.000
	ATT	.819	.010	.798	84.896	.000	.868	.780	.604	.573	1.745
	SUB	−.032	.014	−.019	−2.349	.019	.413	−.034	−.017	.741	1.349
	LOC	.006	.015	.003	.393	.695	.277	.006	.003	.776	1.289
	SEF	.183	.013	.131	13.608	.000	.601	.196	.097	.548	1.823

POL	(Constant)	−.516	.082		−6.330	.000
	ATT	.852	.011	.729	75.326	.000	.806	.708	.575	.622	1.608
	SUB	−.028	.013	−.019	−2.243	.025	.310	−.030	−.017	.814	1.228
	LOC	−.085	.014	−.053	−5.988	.000	.316	−.079	−.046	.744	1.343
	SEF	.250	.013	.184	18.658	.000	.568	.241	.143	.599	1.668

CZE	(Constant)	.298	.165		1.799	.072
	ATT	.896	.020	.837	44.794	.000	.862	.825	.713	.725	1.380
	SUB	−.029	.029	−.018	−1.017	.309	.308	−.033	−.016	.799	1.252
	LOC	−.211	.029	−.130	−7.334	.000	.108	−.232	−.117	.803	1.246
	SEF	.183	.029	.125	6.228	.000	.467	.199	.099	.628	1.591

SVK	(Constant)	−.684	.098		−7.018	.000
	ATT	.866	.013	.800	67.364	.000	.870	.785	.613	.587	1.704
	SUB	−.028	.016	−.018	−1.687	.092	.396	−.032	−.015	.760	1.317
	LOC	.004	.018	.002	.214	.831	.327	.004	.002	.766	1.305
	SEF	.185	.018	.128	10.346	.000	.603	.191	.094	.544	1.839

Partial correlation coefficients

	HUN	POL	CZE	SVK

INT – ATT	0.780	0.708	0.825	0.785
INT – SUB	−0.034	−0.030	−0.033	−0.032
INT – SEF	0.196	0.241	0.199	0.191
INT – LOC	0.006	−0.079	−0.232	0.004
ATT – SUB	0.236	0.179	0.157	0.194
ATT – SEF	0.147	0.126	0.045	0.133
ATT – LOC	0.031	0.159	0.188	0.025
SUB – SEF	0.090	0.120	0.200	0.154
SUB – LOC	0.141	0.127	0.093	0.096
SEF – LOC	0.354	0.308	0.381	0.330

Descriptive statistics of the Visegrad Four respondents (2016)

Country	Study level, sex	%	Area of studies	%
Hungary 5,182 respondents	Undergraduate	73.1	Arts / Humanities	3.8
	Graduate	14.4	Engineering	28.0
	Other	12.5	Human medicine / health sciences	15.5
	Female	58.6	Law & economics	33.2
	Male (%)	41.4	Mathematics and natural sciences	4.6
			Art sciences	0.5
			Social sciences	4.7
			Other	9.7

Poland 6,388 respondents	Undergraduate	73.9	Arts / Humanities	3.8
	Graduate	22.9	Engineering	24.5
	Other	3.2	Human medicine / health sciences	7.2
	Female	64.4	Law & economics	31.7
	Male	35.6	Mathematics and natural sciences	4.9
			Art sciences	0.1
			Social sciences	7.7
			Other	20.0

The Czech Republic 1,135 respondents	Undergraduate	57.2	Arts / Humanities	5.1
	Graduate	39.7	Engineering	20.0
	Other	3.1	Human medicine / health sciences	4.1
	Female	62.2	Law & economics	46.6
	Male	37.8	Mathematics and natural sciences	4.8
			Art sciences	3.5
			Social sciences	2.5
			Other	13.5

The Slovak Republic 3,266 respondents	Undergraduate	56.3	Arts / Humanities	11.6
	Graduate	37.3	Engineering	10.4
	Other	6.4	Human medicine / health sciences	7.8
	Female	71.0	Law & economics	38.2
	Male	29.0	Mathematics and natural sciences	9.1
			Art sciences	0.9
			Social sciences	12.9
			Other	9.1

Model Summary

Visegrad Countries	R	R Square	Adjusted R Square	Std. Error of the Estimate
Hungary (HUN)	.874	.765	.764	.92160
Poland (POL)	.818	.670	.669	.99318
Czech Republic (CZE)	.872	.761	.760	.94540
Slovak Republic (SVK)	.875	.766	.766	.89711

Coefficients of the model

Model	Unstandardized Coefficients		Standardized Coefficients	t	Sig.	Correlations			Collinearity Statistics
Model	B	Std. Error	Beta	t	Sig.	Zero-order	Partial	Part	Tolerance	VIF
(Constant)	−.984	.018		−55.911	.000
ATT	.888	.002	.771	375.787	.000	.866	.763	.575	.556	1.799
SUB	.008	.003	.005	2.693	.007	.436	.008	.004	.727	1.375
LOC	−.025	.003	−.014	−7.981	.000	.359	−.025	−.012	.720	1.390
SEF	.228	.003	.156	72.867	.000	.634	.223	.111	.510	1.962

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Entrepreneurial Intention in the Visegrad Countries

Pubblicato online: 31 dic 2019

Pagine: 347 - 368

DOI: https://doi.org/10.2478/danb-2019-0018

Parole chiave
Entrepreneurship, Entrepreneurial Intention, Visegrad Countries, Higher Education, GUESSS Research

© 2019 Andrea S. Gubik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Coefficients of the Visegrad Countries

Partial correlation coefficients

Descriptive statistics of the Visegrad Four respondents (2016)

Model Summary

Coefficients of the model

Entrepreneurial Intention in the Visegrad Countries

Pubblicato online: 31 dic 2019

Pagine: 347 - 368

DOI: https://doi.org/10.2478/danb-2019-0018

Parole chiaveEntrepreneurship, Entrepreneurial Intention, Visegrad Countries, Higher Education, GUESSS Research

© 2019 Andrea S. Gubik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Coefficients of the Visegrad Countries

Partial correlation coefficients

Descriptive statistics of the Visegrad Four respondents (2016)

Model Summary

Coefficients of the model

Parole chiave
Entrepreneurship, Entrepreneurial Intention, Visegrad Countries, Higher Education, GUESSS Research