Two-Speed Romania: An Analysis of Regional Competitiveness Patterns

Abstract This study examines the regional competitiveness of Romanian NUTS 2 regions from 2016 to 2022, employing the EU Regional Competitiveness Index (RCI) 2.0. The research identifies a polarized “two-speed” developmental model by benchmarking these regions against relevant EU peers and utilizing a K-means clustering algorithm. The findings indicate that although the capital, București-Ilfov, has reached “Efficiency” levels similar to those of Western European regions, it continues to show structural imbalances caused by weaknesses in institutions and infrastructure. The other seven development regions of Romania are situated within a low-competitiveness cluster, which shows considerable volatility and reduced resilience relative to their Central European peers. The findings reveal that the primary barrier to convergence is not market size, but major obstacles in fundamental areas such as education and physical connectivity. The study concludes that existing “one-size-fits-all” cohesion policies are inadequate, recommending a distinctive strategy that emphasizes absorptive capacity for underdeveloped regions and enhancements in quality of life for the capital region.

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Publication Details

Journal
Studies in Business and Economics
Published
2025-12-01
DOI
https://doi.org/10.2478/sbe-2025-0056
Primary Topic
Regional resilience and development
Type
article
Field-Weighted Citation Impact
0.00
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Two-Speed Romania: An Analysis of Regional Competitiveness Patterns

Alexandra Horobet, Ioana Alexandra RADU, George Tudose, Iulia Maria Apostu et al.
Studies in Business and Economics
Regional resilience and development
article

Two-Speed Romania: An Analysis of Regional Competitiveness Patterns

Alexandra Horobet, Ioana Alexandra RADU, George Tudose, Iulia Maria Apostu, Maria Louisa Bucur
article en

Abstract

Abstract This study examines the regional competitiveness of Romanian NUTS 2 regions from 2016 to 2022, employing the EU Regional Competitiveness Index (RCI) 2.0. The research identifies a polarized “two-speed” developmental model by benchmarking these regions against relevant EU peers and utilizing a K-means clustering algorithm. The findings indicate that although the capital, București-Ilfov, has reached “Efficiency” levels similar to those of Western European regions, it continues to show structural imbalances caused by weaknesses in institutions and infrastructure. The other seven development regions of Romania are situated within a low-competitiveness cluster, which shows considerable volatility and reduced resilience relative to their Central European peers. The findings reveal that the primary barrier to convergence is not market size, but major obstacles in fundamental areas such as education and physical connectivity. The study concludes that existing “one-size-fits-all” cohesion policies are inadequate, recommending a distinctive strategy that emphasizes absorptive capacity for underdeveloped regions and enhancements in quality of life for the capital region.

Studies in Business and EconomicsVol. 20(3)
Lucian Blaga University of Sibiu (RO), Babeș-Bolyai University (RO), Bucharest University of Economic Studies (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Regional resilience and development
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