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Higher education and digitalization as drivers of entrepreneurship in Central and Eastern Europe Cover

Higher education and digitalization as drivers of entrepreneurship in Central and Eastern Europe

By:  and    
Open Access
|Dec 2025

Figures & Tables

Table 1

Description of variables.

Variable typeAbbreviationIndicator nameDefinitionSourceTime
DependentNewBusNew Business DensityNew registrations per 1,000 people ages 15–64World Bank2006–2024
IndependentEduTertiary EducationSchool enrollment, tertiary (% gross)World Bank2006–2024
IndependentDigDigitalizationIndividuals using the Internet (% of population)World Bank/Eurostat2006–2024
ControlGDPEconomic DevelopmentGDP per capita (constant 2015 US$)World Bank2006–2024

Source: Eurostat and World Bank.

Table 2

Panel unit root test.

Series/variableMethodStatisticProb.StatisticProb.Integration
(Level)(1st diff.)
New business density (NewBus)Levin, Lin & Chu t*−0.2010.4203−6.89830.000* I(1)
Im, Pesaran and Shin W-stat0.57370.7169−6.29470.000*
ADF – Fisher Chi-square17.77830.71979.9530.000*
PP – Fisher Chi-square19.45360.6172168.7510.000*
Tertiary education (Edu)Levin, Lin & Chu t*−1.9250.027* I(0)
Im, Pesaran and Shin W-stat−1.29730.0973
ADF – Fisher Chi-square33.26040.0583
PP – Fisher Chi-square29.59950.1285
Digitalization (Dig)Levin, Lin & Chu t*−4.30190.0000* I(0)
Im, Pesaran and Shin W-stat−1.35520.0877
ADF – Fisher Chi-square33.10590.0604
PP – Fisher Chi-square75.06040.0000*
GDP per capita (GDP)Levin, Lin & Chu t*3.15960.9992−9.46170.0000* I(1)
Im, Pesaran and Shin W-stat6.04381−7.56050.0000*
ADF – Fisher Chi-square1.2226195.4360.0000*
PP – Fisher Chi-square2.54961362.1160.0000*

Note: Statistical significance at the ***1% level, **5%, and *10%. Probabilities for Fisher tests are computed using an asymptotic Chi-square distribution. For Education and Digitalization, mixed results were obtained, but LLC and PP tests (for Digitalization) suggest stationarity at level.

Source: Authors’ calculations using EViews 13.

Table 3

Hausman test results.

Test summaryChi-square statisticProb.Decision
Cross-section random5.64270.1303RE selected

Source: Authors’ calculations using EViews 13.

Table 4

RE regression results.

Independent variableCoefficientStd. error t-StatisticProb.
Tertiary education (Edu it )0.0106740.0025114.25020.0000***
Digitalization (Dig it )0.0107850.0018965.68730.0000***
GDP per capita (ΔGDP it )0.0543760.1147650.47380.6361
Constant (C)−0.5315861.180256−0.45040.6529
R 2 0.3188
F-statistic31.9883(Prob: 0.0000)
Total observations209(11 countries × 19 years)

Note: Dependent variable: ΔNewBus. ***Significance at 1%.

Source: Authors’ calculations using EViews 13.

Language: English
Page range: 171 - 177
Submitted on: Dec 30, 2025
Accepted on: Dec 30, 2025
Published on: Dec 31, 2025
Published by: University of Oradea
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Ramona Simut, Daniel Pop, published by University of Oradea
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.