POLISS research theme
Regional Entrepreneurship Ecosystem and Smart Specialisation
University of Pécs
Stefan has a Master’s Degree in Business Economics from the Slovak University of Agriculture in Nitra, was engaged in various traineeships in industry and entrepreneurship fields. Interest in the topic of research, he got while working as an International Relations Officer, Assistant Project Manager within EU projects, and Consultant in Business Development.
Quantifying the entrepreneurial ecosystem and innovation capacity of EU regions. Connect the current ecosystem frameworks with specialization measurements. Examine firms' capability and question the process of economic catch-up of regions.
Current Research Question
Is there a distinction between innovative and imitative regions in terms of systemic factors and firm capabilities?
Data & Methods
Index calculation; Penalty for bottleneck method; Specialization indicators; Economic complexity;
Universities in today’s world-between the potential regional growth and market economy absorption, Stefan Apostol (Management & Marketing, Nov 2022)
Recently, various studies have demonstrated the significance and impact of universities on regional development. However, the determinants of their success are either economic performance, student enrolment, or issued patents. It is believed that universities have adopted the utilitarian paradigm too heavily, focusing primarily on the number of students or the students’ skills while neglecting individual growth and the university’s raison d’etre. Case studies, which depend on various other variables and biases, provide most examples of successful universities. According to scientists, universities became overly dependent on the economic system due to excessive involvement. This study employs a spatial regression model to examine the impact of universities and students on the quality of life and industry specialisation. According to the study, universities affect European regions’ quality of life. The number of students at each level of education negatively influences the industry’s presence. However, the population’s lifelong learning share positively influences the regional economy. The study examines education indicators using a spatial approach, making it more generalisable than earlier case study research.