UPDF AI

Professional Training and Employment in Romania: An Analysis Based on Eurostat Data (2015–2023)

Bianca-Elena Miron,Angela-Eliza Micu,Ana-Maria Sacuiu,Isabelle-Ana-Maria Vilsan

2026 · DOI: 10.35219/eai15840409581
0 Citations

Abstract

This article analyzes the relationship between participation in professional training and employment outcomes in Romania, based on Eurostat data from 2015–2023. The research adopts a quantitative design, using seven indicators: adult participation in education and training, perceived need for training, participation in online courses, NEET rate, overqualification, employment rate, and unemployment. The methodology includes descriptive statistics, Pearson correlations, and principal component analysis (PCA). The results highlight an increase in participation in training from 6.6% (2015) to 12.3% (2023) and an improvement in the employment rate from 59.2% to 68.7%. The correlation analysis confirms the strong positive association between participation in training and employment (r = 0.809, p < 0.01) and the negative correlation with overqualification (r = −0.707, p < 0.05). PCA identifies two dimensions: occupational integration and persistent vulnerabilities. The study provides an updated empirical analysis and benchmarks for public policies targeting the adaptability of the workforce in Romania. Economics and Applied Informatics © 2026 is licensed under CC BY 4.0. JEL