Abstract
This study investigates key performance indicators (KPIs) affecting regional competitiveness in the European Union (EU) and compares its performance across two groups of EU regions identified by their development phase based on the path dependence argument. Utilizing 40 indicators from the Regional Competitiveness Index (RCI) across 268 NUTS2 regions, it identifies five critical KPIs: Knowledge workers, Employment rate, Labor productivity, Potential market size, and not in education, employment, or training. The classification and regression tree decision tree reveals the labor market efficiency pillar as crucial for RCI classification. Offering unique insights into RCI indicators and their impact, this research provides a policy-oriented perspective and suggests avenues for further comparative research.
| Original language | English |
|---|---|
| Pages (from-to) | 961-986 |
| Number of pages | 26 |
| Journal | Journal of Regional Science |
| Volume | 64 |
| Issue number | 3 |
| Early online date | 1 Mar 2024 |
| DOIs | |
| Publication status | Published - 30 Jun 2024 |
Funding
The paper is a partial output of the project BRRIDGE which has received funding from the European Union's Horizon Europe research and innovation program under grant agreement No. 101079219 and project Vega 1/0343/23 Modern approaches to the development of cities and regions.
| Funders | Funder number |
|---|---|
| European Union's Horizon Europe research and innovation program | 101079219 |
Keywords
- CART decision tree
- correlation analysis
- key performance indicators
- regional competitiveness index
- regression analysis
ASJC Scopus subject areas
- Development
- Environmental Science (miscellaneous)
