In search of key performance indicators of regional competitiveness in the European Union

Kamila Borsekova, Samuel Korony, Colin W. Lawson

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Number of pages26
JournalJournal of Regional Science
Early online date1 Mar 2024
DOIs
Publication statusE-pub ahead of print - 1 Mar 2024

Keywords

  • CART decision tree
  • correlation analysis
  • key performance indicators
  • regional competitiveness index
  • regression analysis

ASJC Scopus subject areas

  • Development
  • Environmental Science (miscellaneous)

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