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Exploring local income inequalities by using spatial statistics. Emphasis on Romanian metropolitan areas

Author

Listed:
  • Cosmina-Daniela URSU

    (BabeÅŸ-Bolyai University, Cluj-Napoca, Romania)

  • József BENEDEK

    (University of Miskolc)

Abstract

Following the collapse of the communist regime, Romania underwent significant economic, territorial, and social transformations that exacerbated inequality. To help policymakers create effective economic strategies, it is necessary to pinpoint the areas with the largest disparities. Thus, using spatial statistics available in ArcGIS, the primary goal of this study is to identify spatial clusters/outliers of income per capita. The findings indicate a strong concentration of high incomes at the regional level in Bucharest-Ilfov, West, Centre, and North-West regions. Conversely, low-income groups are concentrated in every other region, and their circumstances do not appear to improve over the course of the analysis period (2007-2021). At the metropolitan level, large cities are particularly home to high-value clusters and their influence within metropolitan areas is outlined.

Suggested Citation

  • Cosmina-Daniela URSU & József BENEDEK, 2024. "Exploring local income inequalities by using spatial statistics. Emphasis on Romanian metropolitan areas," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 15, pages 298-323, June.
    • Handle: RePEc:jes:journl:y:2024:v:15:p:298-323
    DOI: https://doi.org/10.47743/ejes-2024-0113
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    References listed on IDEAS

    as
    1. Marcus R. Andrews & Kosuke Tamura & Sophie E. Claudel & Samantha Xu & Joniqua N. Ceasar & Billy S. Collins & Steven Langerman & Valerie M. Mitchell & Yvonne Baumer & Tiffany M. Powell-Wiley, 2020. "Geospatial analysis of neighborhood deprivation index (NDI) for the United States by county," Journal of Maps, Taylor & Francis Journals, vol. 16(1), pages 101-112, January.
    Full references (including those not matched with items on IDEAS)

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