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A NUTS 3 level socio-economic analysis using multivariate methods

Author

Listed:
  • Krisztián Ritter

    (Hungarian University of Agriculture and Life Sciences, Institute of Rural Development and Sustainable Economy, Department of Rural- and Regional Development, Gödöllő, Hungary)

  • Orsolya Varga

    (Hungarian University of Agriculture and Life Sciences, Doctoral School of Economics and Regional Sciences, Gödöllő, Hungary)

Abstract

This study applies factor analysis and cluster analysis to explore county-level differences, with emphasis on economic performance, employment, industrial activity, demographic trends, education, and tourism potential. The focus is on the Romanian NUTS-3 regions (named ‘counties’). The results highlight Cluj and Sibiu as the most advanced counties in economic terms, while Harghita and Covasna rank among the less developed regions. The cluster analysis groups the counties into five distinct categories, with Harghita, Covasna, and Mureș classified as “moderately progressing†areas. Based on these insights, the study outlines recommendations to promote economic diversification, enhance the quality of education, develop tourism infrastructure, and strengthen regional connectivity – key measures that could reduce territorial disparities and support a more balanced spatial development in Romania.

Suggested Citation

  • Krisztián Ritter & Orsolya Varga, 2025. "A NUTS 3 level socio-economic analysis using multivariate methods," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 19(1), pages 51-86, June.
    • Handle: RePEc:rrs:journl:v:19:y:2025:i:1:p:51-86
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    References listed on IDEAS

    as
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    More about this item

    Keywords

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    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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