{"title":"In search of key performance indicators of regional competitiveness in the European Union","authors":"Kamila Borsekova, Samuel Korony, Colin W. Lawson","doi":"10.1111/jors.12692","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Regional Science","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jors.12692","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
The Journal of Regional Science (JRS) publishes original analytical research at the intersection of economics and quantitative geography. Since 1958, the JRS has published leading contributions to urban and regional thought including rigorous methodological contributions and seminal theoretical pieces. The JRS is one of the most highly cited journals in urban and regional research, planning, geography, and the environment. The JRS publishes work that advances our understanding of the geographic dimensions of urban and regional economies, human settlements, and policies related to cities and regions.
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