Exploring university effect in Turkish regional development-A multifaceted statistical approach


Demirdag İ., Nirwansyah A. W.

CITIES, cilt.159, 2025 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 159
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.cities.2025.105730
  • Dergi Adı: CITIES
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, International Bibliography of Social Sciences, Periodicals Index Online, Avery, Business Source Elite, Business Source Premier, Environment Index, Index Islamicus, PAIS International, Political Science Complete, Public Affairs Index, Social services abstracts, Sociological abstracts, Worldwide Political Science Abstracts
  • Anahtar Kelimeler: Discriminant Function Analysis (DFA), Hierarchical Multiple Regression (HMR), Interregional convergence, Regional development and growth, Universities
  • Atatürk Üniversitesi Adresli: Evet

Özet

This study investigates the multifaceted influence of universities on regional economic development and convergence in Turkey (2008-2020). The study employs regression, hierarchical multiple regression (HMR), and discriminant function analysis (DFA) to assess the impact of various university dimensions (demand, human capital, innovation, knowledge production, collaboration) on development levels, growth rates, and interregional convergence. Findings reveal a positive association between universities and regional progress, driven by factors like student enrolment, faculty size, expenditures, and graduate skillsets. University-related innovation exhibits regional variations, with established regions experiencing lower growth despite stronger innovation ecosystems. However, new firms emerging from knowledge spillovers stimulate both development and growth. While "triple helix" or "quadruple helix" cooperation contributes to development, the increase in the number and amount of cooperation does not meaningfully support growth. Discriminant analysis suggests universities promote convergence, with increases in demand, human capital, and knowledge diffusion, enabling underdeveloped regions to catch up. This research, employing a comprehensive spatiotemporal framework, contributes to regional development scholarship by analysing universities' role in convergence. Limitations include data restrictions and a cross-sectional focus. Future research avenues include university quality classification and cross-country comparisons. Policy recommendations focus on increasing demand, developing human capital, retaining graduates, supporting R&D and innovation capacities and promoting university-industry-public cooperation.